Brian Tu
Software Engineer at Datadog
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBrian Tu is a software engineer based in New York with seven years of practical experience building data-focused tools and analytics. He has interned at high-impact companies including Tesla and Dagster Labs, where he improved data pipeline concurrency and contributed to Dagster's orchestration platform by fixing asset materialization and partitioning features. At Datadog he continues to work on production-grade systems, bringing a background in both backend engineering and user-facing automation tools from roles at OwnersBox, ADP, and TerraCycle. His research stint at the University of Waterloo explored interactions between AI assistants and search, hinting at an interest in human-centered tooling. A consistent open-source contributor, he has made meaningful fixes and feature additions to the widely used dagster-io/dagster repo, showing attention to correctness and observability in data workflows. Collected across startups, enterprise internships, and research, his profile combines hands-on implementation with a focus on reliable, testable data infrastructure.
7 years of coding experience
2 years of employment as a software developer
International Baccalaureate Program and Ontario Secondary School Diploma, Computer Software Engineering, International Baccalaureate Program and Ontario Secondary School Diploma, Computer Software Engineering at Upper Canada CollegeBachelor of Computer Science - BCS, Mathematics, Bachelor of Computer Science - BCS, Mathematics at University of Waterloo
English, Chinese, French
Github Skills (15)
orchestrate10
dagster10
orchestration10
data-pipelines10
data-pipeline10
python10
data-engineering10
testing9
command-line9
cli9
command-line-interface9
workflow-automation8
etl8
analytics8
data-integration8
Programming languages (8)
Github contributions (5)
dagster-io/dagster
Sep 2024 - Dec 2024
An orchestration platform for the development, production, and observation of data assets.
Role in this project:
Data Engineer
Data EngineerContributions:21 reviews, 59 PRs, 312 pushes in 3 months
Contributions summary:Brian contributed to the `dagster-io/dagster` repository, an orchestration platform for data assets, by fixing example definitions and implementing features related to asset materialization. Their work included modifying the `assets_dbt_python` example to resolve missing asset issues. They also enabled materializing ranges of partitions using the asset CLI by modifying the CLI and adding related tests. Furthermore, the user added the capability for `AutomationCondition.asset_matches()` and modified the code to use `AssetCheckSummaryRecord` to compute subsets for asset checks.
operationpythonobservationschedulermetadata
briantu/briantu.github.io
Aug 2020 - Dec 2024
My personal website!
Contributions:2 PRs, 68 pushes, 3 branches in 4 years 4 months
cssjs
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