Apache Flink® & everything streaming dataSpeakers
San Francisco 2019
About the speakers
Flink Forward speakers are experts from global companies like Airbnb, Alibaba, AWS, Lyft, Netflix, Splunk, Uber, and many 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
- Stephan EwenCTOVerverica
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.
- Piotr NowojskiSoftware EngineerVerverica
Piotr Nowojski is a Software Engineer in Ververica and Flink committer working mostly on Flink’s runtime code. Previously, he was a Software Engineer in Teradata working on Presto – distributed batch SQL query engine.
- Thomas WeiseSoftware EngineerApple
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.
- Till RohrmannEngineering LeadVerverica
Till is a PMC member of Apache Flink and engineering lead 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.
- Shuyi ChenSoftware EngineerFacebook
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.
- Shaoxuan WangSenior Staff EngineerAlibaba
Shaoxuan is a senior staff engineer and director of engineering at Alibaba, working on Flink SQL and AI platform. Alibaba runs Blink, a fork of Flink, at very large scale and offers it as a service to internal and cloud customers. Prior to Alibaba, Shaoxuan was a senior software engineer working on social graph and core infrastructure at Facebook. Shaoxuan received his Ph.D degree from UC San Diego. He is an Apache Flink® committer. Shaoxuan and his colleagues are heavily contributing to Apache Flink®.
- Elliot ChowSoftware EngineerNetflix
Elliot is a software engineer at Netflix on the Personalization Infrastructure team. He builds big data systems tailored for machine learning and analytics use cases with a variety of technologies including Scala, Spark, Flink, Kafka, and Cassandra.
- Anand SwaminathanSoftware EngineerLyft
Currently working as a Software Engineer at Lyft building infrastructure on large scale streaming and batch processing systems. Previously built real time replication systems for Lyft application tables. Also worked on DynamoDB (AWS), building DynamoDB streams, TTL, etc.
- Xuefu ZhangOpen Source VeteranAlibaba
Xuefu Zhang is a long-time open source veteran, worked or working on many projects under Apache Foundation, of which he is also an honored member. About 10 years ago he worked in the Hadoop team at Yahoo where the projects just got started. Later he worked at Cloudera, initiating and leading the development of Hive on Spark project in the communities and across many organizations. Prior to joining Alibaba, he worked at Uber where he promoted Hive on Spark for all Uber's SQL on Hadoop workload and also significantly improved Uber's cluster efficiency.
- Luca GiovagnoliSoftware EngineerYelp
Luca works as a Software Engineer on the User Location Intelligence team at Yelp. While part of his job involves data mining massive data sets at Yelp, he is also responsible for designing and scaling the backend for analyzing high-volume geospatial data from millions of Yelp’s mobile users. He was previously the main open source contributor to Yelp’s asynchronous client Fido.
- Ning ShiKlaviyo
Ning Shi works with the engineering teams that focus on event processing, data storage, and analytics at Klaviyo. Previously he worked on building distributed in-memory database VoltDB. His passionate about building high performance distributed systems.
- Dave TorokEnterprise Software ArchitectComcast
Dave is an Enterprise Software Architect with over twenty-five years of technical leadership in the telecommunications, financial services, and healthcare domains. Dave’s diverse experience ranges from engineering event-based and rule processing systems at “PaaS” (Platform as a Service) scale to building an autonomous-agent workplace simulation engine. At Comcast, Dave is a Distinguished Architect leading the end-to-end ingest, distributed compute, and machine learning pipeline architectures for Big Data applications supporting Customer Experience and Systems Engineering in both public and private cloud environments.