Apache Flink® & everything streaming data
Speakers
San Francisco 2022
About the speakers
Meet the experts from global companies like Apple, Pinterest, Splunk, Netflix, Shopify, and more, who have built scalable streaming infrastructure and enterprise-grade applications.
Hear why and how they use Flink as the stream processing engine of choice for large-scale stateful applications, including real-time analytics, real-time search and content ranking, fraud/anomaly/threat detection.
Speakers
- Ethan GuoData EngineerOnehouse
Ethan Guo is a Software Engineer at Onehouse, working on building and optimizing the next generation of Lakehouse. He's an Apache Hudi committer, passionate about streaming processing and Lakehouse architecture. Previously, he was a Senior Software Engineer at Uber, building mobile observability and data pipelines for monitoring Uber's mobile network performance in production on a global scale.
- Kunal UmrigarSoftware EngineerThousandEyes
Kunal Umrigar is an Engineering Leader with more than 14 years of experience designing big data platforms and distributed systems. He is a Sr. Engineering Manager at ThousandEyes, leads the alerts team to build stream processing pipelines that identify network anomalies in real-time. Prior to this, Kunal worked as Sr. Director, Engineering at PubMatic to build a big data platform that processed petabytes of data to power and optimize ad serving algorithms. He is a data and ML enthusiast always thrilled to solve tough problems, build a high-performance team and deliver quality software.
- Balint KurnaszSoftware EngineerThousandEyes
Balint Kurnasz is a Software Engineering Technical Leader at Cisco ThousandEyes; he is the lead architect of ThousandEyes' real-time alerting platform built using Flink. He has 12 years of experience as a Java and 5 years as a Kotlin software engineer with a primary focus on distributed systems development. In his spare time he enjoys scubadiving and flying FPV racing drones.
- Aansh ShahSoftware Development EngineerAmazon
Aansh is a Software Development Engineer at Amazon working on making Alexa smarter through enabling machine learning at scale.
- Jeff ChaoTech LeadershipStripe
Jeff Chao is a Staff Software Engineer and tech lead for the Change Data Capture infrastructure at Stripe. He is also a committer for the Debezium Vitess Connector. Previously, Jeff worked on streaming systems at Netflix and was a committer to Mantis, and operated Kafka as a service at Heroku.
- Sharon XieFounding Engineer and Product LeadDecodable
Sharon is a founding engineer at Decodable. Currently she leads product management and development. She has over six years of experience in building and operating streaming data platforms, with extensive expertise in Apache Kafka, Apache Flink, and Debezium. Before joining Decodable, she served as the technical lead for the real-time data platform at Splunk, where her focus was on the streaming query language and developer SDKs.
- Ron CrockerTech LeadershipNew Relic
Ron is a New Relic Fellow and Lead Architect for the Observability team at New Relic. In his almost 8 years at New Relic, he has overseen exponential growth in the amount of data New Relic processes on behalf of our customers. Prior to New Relic, Ron was a Fellow of the Technical Staff at Motorola where he was a key contributor and leader in the development of digital cellular technology through 4G. He is named as an inventor on over 35 issued patents.
- Patrick LucasSenior Data EngineerVerverica
Patrick Lucas is a Senior Data Engineer at Ververica working on the team developing Ververica Platform. Previously, he worked on and led various infrastructure teams at Yelp in San Francisco, and prior to that worked at the Cyber Technology and Information Security Laboratory at the Georgia Tech Research Institute. Patrick studied Computer Science at the Georgia Institute of Technology.
- Yupeng FuTech LeadershipUber
Yupeng is a Principal Engineer at Uber and he leads Uber's Real-time Platform and Infrastructure. including multiple mission-critical services powered by several open-source technologies like Kafka/Flink/Pinot.
- Kyle WellerTech LeadershipOnehouse
Kyle Weller has been on the front lines of the Lakehouse architecture for the last 3 years as a Product lead for Azure Databricks and now Head of Product at Onehouse.ai. Kyle has seen how hard it is for data engineers to build DIY data lakes so he is now building a managed Lakehouse foundation on top of Apache Hudi at Onehouse. Kyle has 9 yrs experience building data products and data engineering platforms across global cloud services like Azure Databricks, Azure ML, Cortana, Bing, and Office. Outside of work Kyle volunteers as an entrepreneurship coach for formerly incarcerated individuals.
- Xiang ZhangOperations EngineerStripe, StarTree
Xiang is currently a software engineer on the streaming team at Stripe, working on creating a stream compute platform. Prior to Stripe, Xiang worked at LinkedIn, Google and AWS on various types of systems, including critical infrastructures for LinkedIn's profile and feed experiences, transactional systems for Google's supply chain organization, and network monitoring infrastructure for EC2 networking at AWS.
- Gang YeDeveloper RelationsApple
Gang works at Apple AI/ML Data infrastructure team. She focuses on building real time data ingestion service.