Apache Flink® & everything streaming data
Berlin 2024
October 21-24 2024
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Data practitioner with decade long experience, holding PhD in distributed databases. Currently fully involved in Openlineage - an open platform for collection and analysis of data lineage with special focus on automatic lineage extraction.
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Zhenqiu Huang has been in Apache Flink Community for many years. He has been building Streaming Platform in Uber Technology and Apple Inc for last several years. Recently, he worked with Openlineage community on building data Lineage for Apache Flink applications.
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Dr. Yuan Mei is a PMC member of the Apache Flink project focusing on the State and Runtime stack. She is the Director of Engineering at Alibaba and leads the Flink storage engine team. She is also the architect of Flink Engine. Before joining Alibaba, Dr. Mei was a research scientist at Facebook, leading and developing various streaming systems. She holds a Ph.D. from MIT CSAIL.
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Xuannan is a software engineer at Alibaba. He is focusing on the development of Apache Flink and its ecosystem after he received his master's degree from Carnegie Mellon University in 2019.
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Xintong Song is a Staff Software Engineer and leads a team that works in Flink’s distributed execution framework at Alibaba Cloud. He is also an Apache Flink PMC member and committer, the starter and promoter of Flink 2.0. He holds a Ph.D. from Peking University.
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Xingcan Cui is a committer for Apache Flink. He currently works as a software engineer at Promoted.ai, leading the development and management of the data platform and pipelines. With over a decade of experience specializing in backend development, data management, and data infrastructure, he is interested in database theories and distributed systems, particularly distributed stream processing.
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Tucker Harvey graduated from UC Berkeley in December 2022. Currently, he is part of the Streaming Data Processing team at Pinterest, where he works on Flink as a Service to support various streaming use cases within the company. Prior to this, he interned at Pinterest on both the Batch Data Processing team and the Query Platform team, gaining valuable experience in large-scale data processing and real-time data query systems.
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Lu Niu is the founding member and current Tech Lead of the Streaming Data Processing team at Pinterest. Prior to joining Pinterest, he played a pivotal role in building Presto as a Service at Uber. Lu is passionate about big data and distributed systems, and has contributed to several prominent projects including Flink, Presto, and Velox.
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