Fang Yong
Head Of Online Marketing at TikTok
Hangzhou City, Zhejiang, Singapore
Summary
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RockstarFang Yong is a marketing leader with nine years of cross-border e-commerce and digital growth experience, now heading Online Marketing at TikTok from Hangzhou. He built his operational chops at Alibaba, Lazada, and Sea, scaling sales and performance programs across APAC before moving into platform-driven marketing leadership. Unusually for a marketing executive, he contributes to backend open-source projects like Apache Flink and Apache Paimon—implementing Kafka connector improvements and ORC format enhancements—bringing a strong data engineering sensibility to marketing measurement and infrastructure. That blend of hands-on engineering contributions and growth marketing makes him adept at translating complex data pipelines into actionable acquisition and retention strategies. He specializes in integrating engineering-first solutions with go-to-market execution to drive measurable business impact.
9 years of coding experience
Github Skills (10)
javas10
kafka10
apache10
apache-flink10
schema-changes10
java10
serialization9
data-serialization9
big-data9
testing8
Programming languages (3)
Github contributions (5)
apache/paimon
Sep 2022 - Jan 2023
Apache Paimon is a lake format that enables building a Realtime Lakehouse Architecture with Flink and Spark for both streaming and batch operations.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:137 reviews, 38 commits, 163 PRs in 3 months
Contributions summary:Fang's commits focus on enhancing the ORC file format support within the Apache Paimon project. The contributions include adding configurations for reusing reader/writer in ORC format, verifying duplicate column names for schema evolution and providing improvements to the binary in-memory sort buffer, also adding support for time travel read and integrating the use of predicate. The changes involve modifying existing files and adding new files that enable the system to correctly process data with different field types.
flinkdistributed-systemsubprojectapachebig-data
apache/flink
May 2017 - Mar 2022
Apache Flink
Role in this project:Back-end Developer
Back-end DeveloperContributions:90 reviews, 38 commits, 140 PRs in 4 years 10 months
Contributions summary:Fang primarily contributed to the Apache Flink project by enhancing the Kafka connector. Their work included developing a new custom partitioner API to handle multiple Kafka sink topics correctly and refactoring existing Kafka producer code. They also addressed code quality issues, such as fixing closing operations and migrating configuration options. Furthermore, the user was involved in migrating configurations related to ZooKeeper and State related configurations within the project.
pythonflinkconnectorsqlapache
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