Steve Suh is a Senior Software Engineer in Redmond with 13 years of experience building data and distributed systems, currently contributing to Azure Synapse Analytics and Log Analytics at Microsoft. He works across Spark and cloud data stacks using C#, C++, Java, and Scala, and his open-source contributions to the widely used dotnet/spark project improved benchmarking and release automation for TPC-H workloads. Trained at UC Berkeley (EECS) and UC Riverside (MS CS), he blends deep systems programming with pragmatic DevOps to streamline testing and deployment. Known for tackling cross-language integration challenges, he brings a practical focus on measurable performance and reliable release pipelines.
13 years of coding experience
3 years of employment as a software developer
Bachelor of Science (BS), Electrical Engineering and Computer Science, Bachelor of Science (BS), Electrical Engineering and Computer Science at University of California, Berkeley
Master's degree, Computer Science, Master's degree, Computer Science at University of California, Riverside
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Role in this project:
Back-end Developer & DevOps Engineer
Contributions:434 reviews, 79 commits, 117 PRs in 2 years 9 months
Contributions summary:Steve's commits focused on the implementation of benchmarking instructions for the .NET Spark framework. These changes involved modifying code in C#, Python, and Scala to integrate and execute TPC-H benchmark tests. Furthermore, the user updated shell scripts for running these benchmarks and automated the packaging of release artifacts, streamlining the deployment process. The contributions show a focus on improving the testing and release processes for the project.
.NET for Apache® Spark™ makes Apache Spark™ easily accessible to .NET developers.
Contributions:677 pushes, 118 branches in 3 years 5 months
dotnetaccessibleapachesparkapache-spark
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