Victor Barua
Senior Software Engineer at Datadog
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolVictor Barua is a Senior Software Engineer based in Seattle with 11 years of experience building query engines, distributed systems, and backend services. He combines practical production experience at Datadog and Treasure Data with deep curiosity about programming languages, ASTs, and query planning—often applied to SQL engines and schema interoperability. Victor has contributed to the Apache DataFusion project, improving Substrait plan compatibility and interval type handling, reflecting a strong open-source footprint in a well-known query engine. His background spans multiple languages and stacks (Ruby, Kotlin, Scala, TypeScript, Python) and includes designing control planes, RBAC extensions, and load-tested services for CDPs. He also organizes technical reading groups and Papers We Love meetups, demonstrating a commitment to continual learning and community knowledge-sharing. Collected from both startup and large-company contexts, his work tends to bridge research-level abstractions and production-grade reliability.
11 years of coding experience
7 years of employment as a software developer
Bachelor of Science - BS, Combined Honours Physics and Computer Science, Bachelor of Science - BS, Combined Honours Physics and Computer Science at The University of British Columbia
Spanish, English
Github Skills (10)
fusion10
query-engine10
substr10
rust10
sql10
testing9
arrow-js8
arrows8
arrow-keys8
big-data7
Programming languages (8)
Github contributions (5)
apache/datafusion
Jun 2024 - Mar 2025
Apache DataFusion SQL Query Engine
Role in this project:
Back-end Developer
Back-end DeveloperContributions:105 reviews, 7 PRs, 127 comments in 8 months
Contributions summary:Victor primarily worked on enhancing the Apache DataFusion SQL query engine, focusing on the Substrait query plan. Their contributions include validating and adjusting Substrait NamedTable schemas, ensuring DataFusion and Substrait schema agreement, and updating TPCH tests to align with upstream changes. They implemented features for more flexible handling of interval types and set ProjectRel output mapping for improved code quality. The work involved modifications to consumer integration tests, schema collection, and other core aspects of the query engine.
querypythonquery-enginedataframerust
vbarua/RentTracking
Sep 2018 - Aug 2020
Contributions:1 PR, 25 pushes, 2 branches in 1 year 11 months
scraperpython
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