Speakers

Chief Architect & Head of Cloud Engineering

Addison Higham has deep experience with streaming technologies such as Flink and Spark. Seeking a new stream storage technology for his previous company, Instructure, Addison discovered Pulsar and quickly became a Pulsar champion and drove the company’s adoption of the technology. Addison then joined StreamNative, where he leads development of StreamNative Cloud and helps customers to successfully adopt Pulsar. Addison lives in Salt Lake City, Utah.

Alexander currently works as a Solutions Architect at Ververica. His previous experience includes working in a variety of engineering roles building event-driven and data-intensive applications.

Ecosystem

A Debuggers Guide to Apache Flink Streaming Applications

Developer for Netflix's Real Time Data Infrastructure team.

Ecosystem

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

Andrey Falko has been in the Streaming space for over 5 years. Most recently he oversaw the Apache Flink platform at Stripe. Prior to that, he built and scaled Apache Kafka for Lyft's Data Platform. At Salesforce, Andrey built a CI/CD system to support Stream and Batch systems. While there he also researched Apache Pulsar and Apache Kafka performance and reliability. Outside of the Streaming space, Andrey built an IaaS system, launched a distributed tracing system with Apache Zipkin, and wrote features for the Salesforce platform. Andrey has recently returned for a second tour at Salesforce.

Technology Deep Dive

Fault Tree Analysis Applied to Apache Flink

Aniket Mokashi is an Engineering Manager on Stream Processing team at Facebook. Throughout his career, he has contributed to the development of large scale data processing frameworks and platforms. Prior to Facebook, he has worked on data platform teams at Youtube, Twitter and Netflix. He is also a committer and PMC member on Apache Parquet and Apache Pig projects. Aniket holds a Master's degree in Information Networking from Carnegie Mellon University.

Arvid has been working on Flink for 2 years, mostly on fault tolerance. Before that, he worked as a consultant data engineer in companies, such as Flixbus or Bayer.

Ecosystem

Integrating Flink into your ecosystem - How to build a Flink connector from scratch

Asterios Katsifodimos is an Asst. Professor the Delft University of Technology. His research focuses on scalable stream processing, engines for executing cloud applications, and data integration. Before TU Delft, Asterios worked at the SAP Innovation Center, TU Berlin and the University of Cyprus. Asterios holds a PhD from INRIA & University of Paris 11.

Bhavani Balasubramanyam is a Software Engineer in Reddit's Anti-Evil Engineering team working towards improving safety on the platform. Working on developing large-scale stream processing systems that analyze and action bad content.

Brent Davis has 20+ years of hands-on experience in end-to-end performance, scalability, reliability, modeling, and infrastructure work. He has worked extensively in cloud-scale applications over the last several years. Brent is passionate about solving difficult performance problems at the extremes of scale, and works across Splunk products with deep technical enthusiasm. Outside of work, you can find him, literally outside, hiking in the mountains of Northern Colorado.

Technology Deep Dive

Sources, Sinks, and Operators: A Performance Deep Dive

Brian Likosar (“liko” pronounced lick-OH) is an open source geek with a passion for working at the intersection of people and technology. Prior to joining AWS, he was at Confluent helping with Apache Kafka and spent 10 years prior to that at Red Hat helping folks with Linux, JBoss, OpenShift, and Ansible. He’s based near Chicago in the U.S. and enjoys sports, live music, and theme parks.

Chen has been working on the Pinterest stream processing platform, Xenon. Previously, he has been working on various data systems since 2007.
Before Pinterest, he contributed to open source projects (Apache Flink, XGBoost) and introduced Flink to Uber in 2016.

I am a Senior Software Development Engineer at Amazon AWS working on the Kinesis Data Analytics platform. We provide a fully managed platform for Apache Flink jobs. I also enjoy contributing to open source projects and am an Apache Flink Committer.

As the training coordinator at Ververica, David enjoys helping users discover the beauty in Apache Flink.

Before joining Ververica, David led the development of data-intensive applications for companies across Europe, including recommender systems, BI tools, and search engines. 

Technology Deep Dive

Introduction to Flink in 30 minutes

David is a Senior Software Engineer at Ververica and Apache Beam committer. He spent the last half of the decade working on petabyte-scale data pipelines and leading some of the most amazing engineering teams. His current focus is on the Deployment and Coordination of Apache Flink.

Dawid Wysakowicz is a Flink committer & PMC, currently working as a Software Engineer at Ververica. His journey with highly distributed and scalable solutions started in 2015 while writing a Master Thesis on Distributed Genomic Datawarehouse.

Technology Deep Dive

Rundown of Flink’s Checkpoints

Dian Fu is a committer and PMC member of the Apache Flink project. He is currently a software engineer at Alibaba where he mainly focuses on PyFlink. Before that,
he was a software engineer at Intel working on Hadoop.

Ecosystem

PyFlink: Building Flink applications with Python language

Divye came to the SF Bay Area 10 years ago, joining Google and delivering Tweet results on the Search Results Page. At LinkedIn he delivered Comment Relevance on LinkedIn's Feed. These days, he's working on Pinterest's Stream Processing Platform (Xenon) as the founder and tech lead for Near Realtime Galaxy (NRTG) platform.

Use Case

NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest

Dylan is an engineer supporting Nordstrom's streaming platform. When he's not automating things he enjoys reading, drawing, and traveling, in that order.

Stateful Functions

Fitting Stateful Functions into a streaming platform

Eric has been in the tech industry for over 20 years as an engineer, CTO, and most recently, CEO. Prior to founding Decodable, he held a number of different roles as an early Cloudera employee, and later, was the CTO and co-founder of Rocana which was acquired by Splunk in ‘17. At Splunk, Eric was a VP and Sr Distinguished Engineer responsible for cloud platform services. Eric is the author of Hadoop Operations (O’Reilly).

Fanshu is a software engineer from Pinterest specialized in stream processing platform and tooling that enables easy and fast adoption of Flink.

Ecosystem

DrSquirrel - A self-service diagnosis tool for Flink jobs

Federica Pizzato is a Physics Engineer that joined Intesa San Paolo in 2016, taking the role of Data Communication Infrastructure Engineer.

She was responsible of the Flink integration into the company ecosystem and she coordinated all the automation activities necessary for the job life cycle.

Felix Gessert is the CEO and co-founder of Baqend. During his PhD studies at the University of Hamburg, he developed the core caching technology Baqend's product Speed Kit. Felix is passionate about making the Web faster by turning academic research into real-world solutions.

Use Case

Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors

Francesco comes from Verona, Italy and works as a Developer Advocate at Aiven. With his many years of experience as a data engineer, he has stories to tell and advice for data-wranglers everywhere. Francesco loves sharing knowledge with others as a speaker and writer, and is on a mission to defend the world from bad Italian food!

Frédérique leads the real-time safety applications team at Reddit. His team keeps Redditors safe by automating the detection and actioning of harmful user behaviour and content in real-time. (We're hiring!)

Combining his experience as a software engineer and training as a scrum master and product owner and in personal, group and team coaching, Frédérique cares about and works towards creating environments that support great technical quality, effective systems and processes and authentic human relationships.

Frédérique lives in London with his partner and his Siberian cat Apollo.

Stateful Functions

Keeping Redditors safe in real-time with Flink Stateful Functions

Gaël has been a software developer for almost 20 years - and has successfully avoided becoming a manager during most of that time. He’s done IT consulting for big companies for a decade before going into start-ups. He likes refactoring stuff, teaching about Scala, and finding the most elegant way to implement a feature. He spends his free time coding on his Open Source projects, playing Paradox games and reading any science book he can get his hands on.

Use Case

Real-time bot mitigation with machine learning in Flink

Gunnar Morling is a software engineer and open-source enthusiast by heart. He is leading the Debezium project, a distributed platform for change data capture. He is a Java Champion, the spec lead for Bean Validation 2.0 (JSR 380) and has founded multiple open source projects such as JfrUnit, Layrry, and MapStruct. Gunnar is an avid blogger (morling.dev) and has spoken at a wide range of conferences like QCon, Java One, Devoxx, JavaZone, and many others. He's based in Hamburg, Germany.

Ecosystem

Open Source Change Data Capture (CDC) with Debezium

Gyula is a Principal Engineer in the Flink Engineering team at Cloudera, working on building enterprise grade streaming analytics products.
He has been a committer and contributor since the early days of Flink streaming and has used it in large scale production since the early days, delivering innovative real-time applications at a global scale.  Gyula grew up in Budapest where he first started working on distributed stream processing and later became a core contributor to the Apache Flink project. Gyula has been a speaker at numerous big data related conferences and meetups, talking about stream processing technologies and use-cases.

Hans-Peter (@hpgrahsl) is a technical trainer at NETCONOMY. As an independent engineer and consultant he helps customers to build cloud-based or on-premises data architectures using modern technology stacks and NoSQL data stores. He is also an associate lecturer for Software Engineering at CAMPUS 02 and is speaking at tech-related and developer conferences. For his code contributions, conference talks and blog post writing at the intersection of the Apache Kafka and MongoDB ecosystems, Hans-Peter received the Confluent Community Catalyst award twice and became one of the founding members of the MongoDB Champions Program.

Ecosystem

Open Source Change Data Capture (CDC) with Debezium

Heng Zhang is a software engineer focusing on Apache Kafka and Apache Flink at Pinterest. Over the past 2.5 years, he designed, built and operated the logging auditing framework to fundamentally improve the ingestion quality of all the pipelines which in total generate and transport over 1 trillion (1PB) messages every day; he also led the cross-functional effort on improving the reliability and dev velocity of streaming applications written in Apache Flink.

Use Case

NRTG: Fast, Systematic & Scalable Flink Application Development at Pinterest

Igal is a Team lead at Ververica, where he mostly works on expanding the use of stream processing to new frontiers, previously he was working on Apache Flink, and the Ververica Platform. His interests are around distributed systems, writing clean and testable code.

Ingo is a senior consultant at TNG Technology Consulting. He currently works with Ververica where he is part of the team working on both Flink SQL and the SQL integration of the commercial product. He loves working full-stack with Java and TypeScript and studied mathematics in Stuttgart, Germany.

Ecosystem

Using Flink SQL on Ververica Platform

Software Developer with an interest in Data Engineering in general and Stream Processing in particular.

Stateful Functions

Real Time Fraud Detection with Stateful Functions

Joe has been leading engineering teams and got hooked on product and big data in his recent career.

Technology Deep Dive

Introduction to Flink in 30 minutes

Bachelor of Science 2016
Master of Science 2020
Application Security since 2016
E-Commerce developer since 2016

Stateful Functions

Real Time Fraud Detection with Stateful Functions

Jowanza Joseph is Staff Software Engineer at Finicity. Jowanza's career spans a decade where he has spent most of it working with distributed batch and streaming systems. Jowanza is the author of the upcoming O'Reilly book, Mastering Apache Pulsar.

Stateful Functions

Paper Moon: A Comparison of Stateful Functions and Pulsar Functions

Jun Qin is a Solutions Architect at Ververica. Previously, he worked as a Technical Account Manager in MapR and as a senior system support programmer/analyst in Amadeus. He graduated with honors from the University of Innsbruck with a Ph.D. degree in computer science. He specializes in distributed computing and system architecture.

Technology Deep Dive

Getting into Low-Latency Gears with Apache Flink

Hands-on Engineering Manager passionate about Real-Time Streaming Platforms. Loves data - bigger the better. Product driven. Have a Ph.D. in Multimedia Database and Retrievals. Loves reading and long walks.

Ecosystem

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

Kenn Knowles is an Apache Software Foundation Member and chair of the Apache Beam Project Management Committee. Kenn has been working on Google Cloud Dataflow—Google’s Beam backend—since 2014. Prior to that, he built backends for startups such as Cityspan, Inkling, and Dimagi. Kenn holds a PhD in programming languages from the University of California, Santa Cruz. Kenn is really looking forward to a post-Covid haircut.

Kenny has decades of experience with various data platforms behind some of the busiest companies in the world. He has had roles as Founder, CEO, Chief Technologist, Architect, Developer, and DBA.

Most recently, Kenny Co-Founded Eventador.io with a mission to build the best in class streaming SQL engine based on Apache Flink. He is active in the Apache Kafka and Apache Flink communities - speaking at conferences and participating in community events.

As Head of Product at Ververica, Konstantin supports multiple product teams working on Apache Flink, Stateful Functions and Ververica Platform in both feature discovery as well as delivery. He is currently focusing on Stateful Functions, the youngest project of the Apache Flink family. Previously, he has been leading the solutions architecture team, helping our clients as well as the Open Source community to get the most out of Apache Flink.

Konstantina is leading the data science practice at Datadome. She holds a PhD in theoretical physics and has worked as a software developer in the financial industry for 4 years. She then turned into data science and has worked in other industries before joining Datadome. In her spare time she is mentoring data analysis and data science students and reads about the interconnections between physics and machine learning.

Use Case

Real-time bot mitigation with machine learning in Flink

Kyle Weaver is a Software Engineer at Google

Kym Hines is a Distinguished Engineer and leads Data Processing at Splunk, where she is guiding the work on cloud based streaming processing.  Prior to Splunk, she was the tech lead and manager of Flume and the backend shared by both Flume and Google Cloud Dataflow.  Flume is Google’s answer to general purpose, large scale, parallel computation, and it has been made available outside of Google as Dataflow & Apache Beam.  She received her Ph.D. in Computer Science from the University of Washington,

Studied Computer Science in Augsburg (Bachelor) and Kiel (Master).
Software Developer at neuland - Büro für Informatik since 2019.

Stateful Functions

Real Time Fraud Detection with Stateful Functions

Lorna is based in Yorkshire, UK; she is a Developer Advocate at Aiven as well as a published author and experienced conference speaker. She brings her technical expertise on a range of topics to audiences all over the world with her writing and speaking engagements. Lorna has a strong background in open source, and a passion is for better Developer Experiences for developers everywhere. You can find out more about Lorna on her website https://lornajane.net.

Maciej Bryński - Big Data Architect, Apache Spark Instructor and Contributor. Big fan of other Big Data technologies including Apache Flink, Kafka, Cassandra and many more. In addition to designing Big Data systems and processes on a daily basis, Maciej also possesses hands-on expertise with tools needed to create those systems from scratch.

Use Case

Networks! project - real-time analytics that controls 50% of mobile network in Poland

Martijn Visser is Senior Product Manager at Ververica, where he's responsible for the SQL and SDK teams. Before joining Ververica, he worked as Product Lead at ING where he was responsible for the product development of ING's realtime streaming analytics and engagement platform.

Use Case

Only SQL: Empower data analysts end-to-end with Flink SQL

Márton is an Apache Flink PMC member and one of the first contributors to the Flink Streaming API. He has driven big data adoption at around 50 customers as a Solutions Architect at Cloudera during his previous role. For the past 2 years he is the manager of the Streaming Analytics team and focuses on growing Flink on the Cloudera platform.

Mátyás has been working at Cloudera and assisting customers on their big data journey since 2016. After being a member of the Support, then the Professional Services organizations he has joined Engineering as a founding member of the Cloudera Flink team. He focuses on end-to-end customer experience including security and operations.

Nagesh Honnalli is a senior software engineer at Amazon Kinesis Data Analytics with primary focus on highly available fault tolerant distributed systems. He is currently working on building a highly available platform for managing Flink jobs on Kinesis Data Analytics. In his stint at AWS, Nagesh has been a part of launching multiple production ready services including Amazon Kinesis Data Firehose and Amazon Kinesis Data Analytics that continue to delight AWS customers.

Neng Lu is a staff software engineer at StreamNative where he drives the development of Apache Pulsar and the integrations with big data ecosystem. Before that, he was a senior software engineer at Twitter. He was the core committer to the Heron project and the leading engineer for Heron development at Twitter. He also worked on Twitter’s monitoring and key-value storage systems. Before joining Twitter, he got his master's degree from UCLA and a bachelor's degree from Zhejiang University.

Nico Kruber is an Apache Flink committer working as a Solutions Architect at Ververica, helping clients and the open-source community get the most out of Apache Flink. For this, Nico can leverage his in-depth knowledge of Flink, Ververica Platform, and the expertise of his colleagues at Ververica and Alibaba. Nico holds a PhD in computer science from his research on parallel and distributed systems at the Zuse Institute Berlin, where he developed a transactional key-value store.

Technology Deep Dive

Getting into Low-Latency Gears with Apache Flink

Olena is a software engineer, formerly a data engineer and an iOS developer. Born in Ukraine, but now lives in Finland. For most of her career, she has worked for big companies such as Yandex and Zalando. Therefore, she understands that the problem of “too much data” does exist. She believes that sharing knowledge is a win-win for both the audience and the speaker.

Use Case

Data Pipeline Lifecycle: SQL Everywhere

Peter Huang is a Tech Lead Manager of the Streaming Analytics Team at Uber. He is leading and managing Flink and its ecosystems inside Uber.

Ecosystem

Building Presto SQL experience on Flink

Raffaele Saggino is a Data Communication Architect at Intesa Sanpaolo, technical lead of the team in charge of designing Streaming Infrastructures.

He is responsible for the introduction of Apache Kafka, Apache NiFi and Apache Storm in the company.

I've been in the IT industry for over 10 years. Starting as a tech person in Deployment Management I moved over time through process management, project management and business development roles. Right now I am building a Team of Cloud Native consultants for Container Solutions Poland office.

I was involved in organisations of the first DevOps Days Warsaw in 2014. Since then I am member of Programme Committee of this conference (and many others). I was involved in setting up PyData Warsaw meetup in 2015, fully responsible for it for the past 2 years. I am chairman of PyData Warsaw Conference (2 editions already) that gathers over 400 Data Science enthusiast.

Personally I am interested in technology with the focus on Cloud Computing, DevOps, Data Science/Machine Learning and Genomics.

Use Case

Networks! project - real-time analytics that controls 50% of mobile network in Poland

Reza Rokni is a Developer Advocate for Google Dataflow at Google.

A data scientist and TensorFlow addict, Robert has a passion for helping developers quickly learn what they need to be productive.  He's used TensorFlow since the very early days and is excited about how it's evolving quickly to become even better than it already is.  Before moving to data science Robert led software engineering teams for both large and small companies, always focusing on clean, elegant solutions to well-defined needs.  You can find him on Twitter at @robert_crowe.

Roman Grebennikov is a passionate software developer with hands-on experience in machine learning software development and JVM. During last years he has focused on the delivery of functional programming principles and practices to real-world data analysis and information retrieval projects.

Ecosystem

Building an open-source ML feature store with Apache Flink

Roshan Naik is a technical lead for Uber's Realtime Streaming Analytics Platform, working on challenges of large-scale stream processing. Before joining Uber, Roshan architected Apache Storm 2.0's new high performance execution engine and authored Apache Hive's transactional streaming ingest APIs. He is a committer on Flume, Streamline, and Storm. He is also author of Castor, an open source C++ library that brings the logic paradigm to C++.

Technology Deep Dive

Big Data Processing : Where do we go next ?

Seth Wiesman is a Committer on Apache Flink working on the Stateful Functions project, Flink's documentation, and the State Processor API. As a Solutions Architect at Ververica, he works with engineering teams inside of various organizations to build the best possible stream processing architecture for their use cases.

Stateful Functions

Stateful Functions: Flexible like a Microservice, Consistent like a Monolith

Shuyi Chen is a software engineer in the stream processing team at Facebook. He is the TL responsible for building the streaming SQL native engine & state storage engine at Facebook. Before joining Facebook, Shuyi led the stream processing platform at Uber which is built on top of Apache Flink & Apache Calcite. He is a committer of both Apache Flink and Apache Calcite. Shuyi has years of experience in storage infrastructure, data infrastructure, and mobile development at Facebook, Google and Uber.

Sijie Guo is the co-founder and CEO of StreamNative, which provides a cloud-native event streaming platform powered by Apache Pulsar. Sijie has worked on messaging and streaming data technologies for more than a decade. Prior to StreamNative, Sijie co-founded Streamlio, a company focused on real-time solutions. At Twitter, Sijie was the tech lead for the messaging infrastructure group, where he co-created DistributedLog and Twitter EventBus. Prior to that, he worked on the push notification infrastructure at Yahoo!, where he was one of the original developers of BookKeeper and Pulsar. He is also the VP of Apache BookKeeper and PMC member of Apache Pulsar.

Steffen Hausmann is a Principal Streaming Architect at AWS. He works with customers around the globe to design and build streaming architectures so that they can get value from analysing their streaming data. He holds a doctorate degree in computer science from the University of Munich and in his free time, he tries to lure his daughters into tech with cute stickers he used to collect at conferences.

Stephan Ewen is CTO and co-founder at Ververica where he leads the development of the stream processing platform based on open source Apache Flink. He is also a PMC member and one of the original creators of Apache Flink. Before working on Apache Flink, Stephan worked on in-memory databases, query optimization, and distributed systems. He holds a Ph.D. from the Berlin University of Technology.

I am an infrastructure engineer with a great passion for performance and scalability. Most recently I have been working on a highly scalable, low-latency stateful task execution system that handles Uber’s CI workloads. Before that, I researched extensively on techniques to guarantee ACID-like properties for large monorepos and built a system utilized by 5k+ developers at Uber.

Ecosystem

Backfill Flink Data Pipelines with Iceberg Connector

Thomas is Software Engineer, Streaming Platform Infrastructure at Apple, working with Apache Flink. Earlier he has been at a number of other technology companies in the San Francisco Bay Area, including DataTorrent, where he was a Co-Founder of the Apex project. Thomas is committer and PMC member for Apache Flink and Apache Beam and has contributed to several more of the ASF ecosystem projects.

Technology Deep Dive

Jump start large window computations with Hybrid Source

Till is a PMC member of Apache Flink and software engineer at Ververica. His main work focuses on enhancing Flink’s scalability as a distributed system. Till studied computer science at TU Berlin, TU Munich and École Polytechnique where he specialized in machine learning and massively parallel dataflow systems.

Technology Deep Dive

A Year in Flink: The most important changes of the last versions

Tim Spann is a Developer Advocate @ StreamNative where he works with Apache Pulsar, Apache Flink, Apache NiFi, Apache MXNet, TensorFlow, Apache Spark, big data, the IoT, machine learning, and deep learning. Tim has over a decade of experience with the IoT, big data, distributed computing, streaming technologies, and Java programming.

Timo Walther is a committer and PMC member of the Apache Flink project. He studied Computer Science at TU Berlin. Alongside his studies, he participated in the Database Systems and Information Management Group there and worked at IBM Germany. Timo works as a software engineer and lead of the SQL team at Ververica. In Flink, he is working on various topics in the Table & SQL ecosystem.

Ecosystem

Flink's Table & DataStream API: A Perfect Symbiosis

Current work as Software Architect at Bluechip Financial. Have spent the last year redesigning and implementing an improved underwriting process using pure FP Scala + Cats + Flink (with a bit of Haskell) and event driven architecture.

Stateful Functions

Polyglot Actor Model on Flink Stateful Functions

Tymur is a software engineer and evangelist of the "Keep it simple, stupid" principle. He recognizes simplicity as the most challenging problem in software engineering and values the opportunities Stateful Functions bring to modern applications.

Stateful Functions

Building payment processing engine with Stateful Functions and Spring Boot

Wei is a Senior Software Engineer on the Real-Time Data Infrastructure team at Netflix, building a general-purpose stream processing pipeline platform to simplify data movement between data stores. Prior to Netflix, Wei worked at Amazon Search, where he built a platform for processing Customer Behavior data.

Ecosystem

Advancing Data Mesh: Building A Stream Processing EcoSystem of Reusable Processors and Datasets

Wolle is a distributed systems engineer & data scientist at Baqend (https://www.baqend.com/). During his PhD studies, he developed Baqend’s real-time query engine and built a strong background in databases, scalable stream processing, and Big Data technologies. Wolle is a frequent speaker at tech conferences and he has published two books on scalable cloud data management in the last two years.

Use Case

Batching Was Yesterday: Real-Time Tracking & Analysis For 100+ Million Visitors

Xingbo Huang is a committer of the Apache Flink project. He is currently a software engineer at Alibaba where he mainly focuses on PyFlink.

Ecosystem

PyFlink: Building Flink applications with Python language

Xinran is a Senior Data Engineer on the Personalization Data Engineering team at Netflix.

Ecosystem

Backfill Flink Data Pipelines with Iceberg Connector

Vasiliki (Vasia) Kalavri is an Assistant Professor at Boston University, Department of Computer Science, where she leads the Complex Analytics and Scalable Processing (CASP) Systems lab. Her research focuses on distributed stream processing systems and large-scale graph analytics. Before joining BU, Vasia was a postdoctoral fellow at ETH Zurich and received a joint PhD from KTH (Sweden) and UCLouvain (Belgium).

Vignesh is a Software Engineer at Reddit working on using streaming technologies like Flink Stateful Functions and Kafka to keep users safe on the platform. Previously, he worked on distributed systems at Optimizely.

Yaroslav Tkachenko is a software engineer interested in distributed systems, microservices, data-intensive applications, functional programming, modern cloud infrastructure, and DevOps practices.

Currently, Yaroslav is a Staff Data Engineer at Shopify, working on data pipelines for merchant-facing data products and analytics.

Previously, he was a Senior Software Engineer and later Software Architect at Activision, where he redesigned and rebuilt the data pipeline for Activision games like Call of Duty franchise.

Use Case

Storing State Forever: Why It Can Be Good For Your Analytics

Yifan Mai is a Software Engineer at Google

Zhongting Hu is Tech Lead Manager of the Interactive Analytics Team at Uber. He is leading and managing Presto ecosystems inside Uber.