Dongyang Li is a software engineer with nine years of hands-on experience building back-end systems and data-focused tools, currently working at TikTok in Chengdu. He holds a Math-Computer Science degree from UC San Diego and has practical full-stack experience from internships where he built an AI-driven hiring system with React and Django. Dongyang contributes to high-profile open-source work on Apache Doris, adding TPC-H data loading scripts and improving hash join performance—demonstrating an interest in query optimization and analytical databases. His background also includes quantitative development exposure at Everbright Securities, blending algorithmic thinking with production engineering. Colleagues will find him comfortable moving between database internals and application-level features, and he often surfaces practical testing and automation improvements that speed deployment and validation.
9 years of coding experience
University of California, San Diego
High School Diploma, High School Diploma at Liberty Christian Academy
Apache Doris is an easy-to-use, high performance and unified analytics database.
Role in this project:
Back-end Developer & Database Engineer
Contributions:413 reviews, 49 commits, 936 PRs in 8 months
Contributions summary:Dongyang contributed to the development of TPC-H benchmark tools by adding scripts for loading TPC-H data into Apache Doris. They modified SQL scripts to create TPC-H tables. Additionally, the user introduced enhancements to the hash join node, including the use of a new thread, indicating work on query optimization. The user also added scripts for testing and data loading, contributing to a variety of database functionalities.
Contributions:1 push, 1 branch in 5 years 7 months
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