Kaiqi Jin
Software Engineer at Databricks
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKaiqi Jin is a software engineer with seven years of experience building large-scale backend systems and cloud infrastructure, currently at Databricks in San Francisco. He has deep distributed-systems and platform experience from roles at Baidu—where he independently designed an instance batch-isolation system that can isolate 400k+ instances in minutes—and contributions to Databricks' Delta Lake open-source project, adding Iceberg compatibility and core table/upgrade features. Kaiqi’s background spans full-stack and backend roles across startups and tech giants, with hands-on work in container PaaS, high-throughput data pipelines, and performance optimizations that cut transaction and report times by orders of magnitude. He holds degrees from Shanghai Jiao Tong University and UC San Diego and brings a practical blend of research-grade systems thinking and production-driven engineering. An understated strength is his knack for refactoring risky core code paths—evident in his Delta Lake and Baidu work—making complex systems more robust and maintainable.
7 years of coding experience
2 years of employment as a software developer
University of California, San DiegoBachelor's degree, Computer Science and Technology, Bachelor's degree, Computer Science and Technology at Shanghai Jiao Tong University
Github Skills (11)
scala10
ice10
spark10
delta-lake10
apache-iceberg10
java9
data-engineering9
javas9
big-data9
analytics8
acid7
Programming languages (4)
Github contributions (5)
delta-io/delta
May 2022 - Apr 2025
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:44 reviews, 17 PRs, 34 comments in 2 years 11 months
Contributions summary:Kaiqi primarily contributed to the Delta Lake project by implementing features related to the Uniform format and Iceberg compatibility. Their work included supporting timestamp-based partitioning, adding error messages for upgrade operations, and implementing the upgrade command for Iceberg compatibility. Furthermore, the user refactored existing code related to table creation and cloning, demonstrating involvement in core functionalities. They also addressed issues related to timestamp conversions within the Iceberg integration.
analyticsprestodbflinkbig-dataspark
KaiqiJinWow/delta
Oct 2023 - Apr 2025
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
Contributions:64 pushes, 18 branches in 1 year 5 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.