Long Vu
Software Engineer at Databricks
Amsterdam, North Holland, Netherlands
Summary
🤩
Rockstar🎓
Top SchoolLong Vu is a software engineer based in Amsterdam with three years of hands-on experience improving data systems and query performance at Databricks, where he contributes to Delta Lake and led features like Delta Connect and timestamp data-skipping optimizations. He has a track record of shipping high-impact performance work—implementing Range Bloom Filters for Spark joins that yielded up to 100x speedups during his Databricks internship—and presented SELECTive replace features at industry events. A strong backend and test-automation engineer, he contributed unit-tested fixes to the widely used delta-io/delta project and helped harden deletion-vector and DML performance in production runtimes. Educated at École Polytechnique with an exchange at EPFL, Long blends research rigor with pragmatic system-building and has international experience from living in six and traveling to 39 countries, which informs his collaborative, cross-cultural approach to engineering.
3 years of coding experience
Bachelor's degree, Mathematics and Computer Science, Bachelor's degree, Mathematics and Computer Science at École PolytechniqueHigh School Diploma, Computer Science, High School Diploma, Computer Science at High School for Gifted Students, Hanoi University of Science, Vietnam National UniversityExchange Semester, Computer Science, Exchange Semester, Computer Science at EPFL
English, Vietnamese, French
Github Skills (13)
scala10
integration-testing10
unit-testing10
test-integration10
spark10
delta-lake10
test-unit10
unit-test10
testing10
analytics9
big-data9
sql7
acid7
Programming languages (1)
Github contributions (5)
delta-io/delta
Sep 2022 - Sep 2022
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 & QA Engineer/Test Automation Engineer
Back-end Developer & QA Engineer/Test Automation EngineerContributions:280 reviews, 1 commit, 77 PRs in 1 day
Contributions summary:Long contributed to the Delta Lake project by implementing and testing features related to data skipping, particularly for the `TIMESTAMP_NTZ` data type. They modified the `DataSkippingReader` to support data skipping on `TIMESTAMP_NTZType` columns. Their work involved adding unit tests to ensure the correct behavior of data skipping, including tests in `DataSkippingDeltaTests` and `DeltaTimestampNTZSuite`. The user also added tests to verify `CREATE` and `REPLACE` table operations and the behavior of `CONVERT TO DELTA` with row IDs.
analyticsprestodbflinkbig-dataspark
longvu-db/delta
Oct 2023 - Feb 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:468 pushes, 84 branches in 1 year 4 months
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