Rui Fan
Apache Flink PMC Member at The Apache Software Foundation
Beijing, China
Summary
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RockstarRui Fan is a big-data engineer and Apache Flink PMC member with seven years of experience building and steering streaming runtime systems. Currently tech lead of Shopee’s Flink runtime team, he combines production-hardened operational experience with active upstream stewardship as a committer to Apache Flink, StreamPark, and significant contributions to Apache Spark testing and Spark Connect stability. Based in Beijing, he specializes in runtime reliability, test automation, and real-time compute, with a track record of diagnosing subtle exception and scalar-subquery bugs that improve cluster robustness. Started "from the bottom," Rui pairs hands-on bug fixes and test design with leadership in large-scale stream processing deployments. He’s known for bridging intense production demands with open-source craftsmanship, helping translate real-world failures into durable upstream fixes.
7 years of coding experience
5 years of employment as a software developer
Github Skills (7)
scala10
javas10
spark10
back-end-development10
java10
testing10
data-engineering9
Programming languages (7)
Github contributions (5)
apache/spark
Aug 2019 - Oct 2024
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:178 reviews, 45 PRs, 256 comments in 5 years 2 months
Contributions summary:Rui primarily contributed to enhancing testing capabilities within the Apache Spark project, specifically for the Spark Connect client. They added new tests for `WriteTo` operations, ensuring the correct behavior of the Spark Connect client, and also fixed issues related to handling exceptions and incorrect results in scalar subqueries. Additionally, the user addressed a bug in the Spark Connect server, improving its robustness by handling exceptions that may not contain messages. Their work focused on improving the overall stability and functionality of Spark Connect.
analyticspythondata-processingsqlapache
apache/seatunnel-web
Oct 2022 - Mar 2025
SeaTunnel is a distributed, high-performance data integration platform for the synchronization and transformation of massive data (offline & real-time).
Contributions:79 reviews, 68 PRs, 62 pushes in 2 years 5 months
operationseatunneletl-frameworkintegration-platformsql-engine
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