William Shin
Software Engineer at Flagler Health
Vancouver, British Columbia, Canada
Summary
🤩
Rockstar🎓
Top SchoolWilliam Shin is a software engineer with a PhD in Biomathematics and nearly a decade of experience building cloud-native, data-intensive systems from healthcare pipelines to enterprise migrations. He has delivered HIPAA-compliant, scalable processing for millions of patient records, rearchitected pipelines to remove memory constraints and achieve 4x performance gains, and led cloud migrations that improved reliability and disaster recovery for production operations. An active contributor to Great Expectations documentation and feature work, he blends computational biology rigor with practical full‑stack engineering across AWS, containerized workflows, and modern front-end stacks. Based in Vancouver, he pairs research-grade data thinking with hands-on delivery—an unusual combination that surfaces in both technical writing and production-grade system design.
9 years of coding experience
9 years of employment as a software developer
University of California, San DiegoDoctor of Philosophy (Ph.D.), Biomathematics, Bioinformatics, and Computational Biology, Doctor of Philosophy (Ph.D.), Biomathematics, Bioinformatics, and Computational Biology at Columbia University
English, Korean
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (7)
technical-writing10
documentation10
bigquery3
spark3
snowflake3
aws3
postgresql3
Programming languages (4)
Github contributions (5)
great-expectations/great_expectations
May 2020 - Jan 2023
Always know what to expect from your data.
Role in this project:
Technical Writer
Technical WriterContributions:11 releases, 3208 reviews, 335 commits in 2 years 8 months
Contributions summary:William's commits primarily focused on improving and expanding the documentation for the "great-expectations/great_expectations" repository. Their contributions involved creating new documentation for topics such as cloud-based deployments, database configurations, and the use of the DataAssistants. The user corrected typos, reformatted existing content, and added examples and diagrams, resulting in a more comprehensive and user-friendly resource for the project.
pythondatadata-integritydatacleanerpipeline-testing
Shinnnyshinshin/great_expectations
Jun 2023 - Sep 2023
Always know what to expect from your data.
Contributions:93 pushes, 9 branches in 2 months
data-analysispythondatadata-science
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