Yun Tang is a Technical Team Lead based in Shanghai with 11 years of experience designing and shipping distributed data systems across major tech firms including Xiaohongshu, Alibaba, and Microsoft. He combines hands-on backend engineering with team leadership, specializing in multimodal distributed computations and stateful stream processing. As an Apache Flink committer and contributor, he has fixed critical state management and RocksDB backend issues and refactored operator state repartitioning in one of the most widely used stream-processing engines. Yun’s background bridges deep academic training (MSc in Computer Science from Nanjing University) and practical big-data experience from Spark, Cosmos, and Mobius projects, enabling him to translate complex runtime challenges into robust production solutions.
11 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Nanjing University
Contributions:822 reviews, 215 commits, 327 PRs in 4 years 7 months
Contributions summary:Yun primarily contributed to the Apache Flink project, focusing on fixing bugs related to state management and testing. They addressed issues within the file system processing tests and the RocksDB state backend, specifically related to runtime contexts and iterator access. Additionally, they ported existing task manager configuration and startup tests to the new code base. They also refactored the operator state repartition mechanism.
Contributions:10 reviews, 19 commits, 45 PRs in 3 years 6 months
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