Zebing Lin is a software engineer based in San Francisco with 11 years of experience building back-end systems and distributed data infrastructure. Currently at Meta, he combines production-grade engineering with a deep open-source footprint, contributing to Trino’s core Hive connector to improve S3 multi-upload, bucketed table handling, and exchange spooling. His work on adaptive partitioning, page-reading optimizations, and Azure Blob Storage support demonstrates a focus on performance, scalability, and cross-cloud interoperability. Comfortable in large codebases, he brings practical experience shipping robust features and increasing test coverage for mission-critical query engines. Colleagues would describe him as a pragmatic problem-solver who prefers measurable improvements in throughput and reliability over speculative optimizations.
Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)
Role in this project:
Back-end Developer
Contributions:493 reviews, 6 commits, 58 PRs in 2 months
Contributions summary:Zebing primarily contributed to the core functionality of the Trino distributed SQL query engine, focusing on the Hive connector. Their commits involved enhancing the S3 multi-upload feature, addressing issues with bucketed tables, and improving the exchange spooling mechanism with features like Azure Blob Storage support and increased test coverage. The user also worked on optimizing page reading and implementing adaptive partitioning, which improved the query performance and overall system scalability.
Contributions:4 commits, 10 PRs, 92 pushes in 3 months
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