Hannah Jiang
Software Engineer at Google
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolHannah Jiang is a software engineer with a decade of experience building scalable data systems, currently contributing to BigQuery at Google. She has a strong big-data background from roles at Zillow (Spark, Hadoop, Hive, Presto, Airflow) and academic training in computer science and MIS with a Big Data track. Hannah has hands-on experience across the data stack—ETL, modeling, and production engineering—and has contributed to the widely used Apache Beam project by improving Python SDK approximate-unique transforms and hardening tests for reliability and performance. Colleagues rely on her for pragmatic refactors that reduce flakiness and improve test infrastructure, reflecting a focus on durable, production-ready systems. Based in Seattle, she blends research-informed rigor with practical delivery across cloud-native analytics platforms.
10 years of coding experience
9 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at Tokyo Institute of TechnologyMaster's Degree, Management Information Systems, Big Data track, Master's Degree, Management Information Systems, Big Data track at Washington University in St. Louis
English, Japanese, Chinese, Korean
Github Skills (10)
testing10
unit-testing10
apache-beam10
python10
data-processing10
big-data9
algorithms9
go3
javas3
java3
Programming languages (2)
Github contributions (5)
apache/beam
May 2019 - May 2020
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:
Backend Developer & QA Engineer
Backend Developer & QA EngineerContributions:15 reviews, 71 commits, 97 PRs in 11 months
Contributions summary:Hannah primarily contributed to the Python SDK for Apache Beam by implementing and testing approximate unique transforms. They added new features and functionality for approximate unique transforms in the Python SDK, including validation of input parameters. Additionally, they refactored existing code and addressed test flakiness by adding retry mechanisms, and adjusted test input parameters to make sure the test could execute correctly. The commits also included performance enhancements and improvements to the overall quality of the testing infrastructure.
golangpythonstreaming-databeambatch
Hannah-Jiang/beam
May 2019 - May 2020
Apache Beam
Contributions:402 pushes, 77 branches in 1 year
beamapachebig-datajavaapache-beam
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.