Pei Lin
Principal Data Engineer
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolPei Lin is a Principal Data Engineer based in Cambridge, MA, with 13 years in data/software engineering and a 20-year biotech domain pedigree that bridges clinical insight and cloud-native systems. She designs and implements scalable ETL pipelines and data platforms on AWS—Glue, Athena, Lambda, Batch—specializing in bioinformatics workloads and workflow orchestration. Her work repeatedly automates lab-to-cloud data flows (Illumina, Benchling) and packages analysis tools in Docker to accelerate computational biology pipelines. She has practical experience integrating LLMs and enterprise ChatGPT actions for bioinformatics use cases and has built txt2sql and on-demand container services to speed scientist workflows. An active contributor to the WDL workflow language codebase, she has helped refine parsing and testing for a widely used bioinformatics workflow spec. Pei combines deep software engineering rigor with hands-on lab data experience, making her effective at translating scientific requirements into maintainable, production-grade data systems.
13 years of coding experience
23 years of employment as a software developer
Master of Science Computer Science, Master of Science Computer Science at Syracuse UniversityB.S. / M.D Clinical Medicine, B.S. / M.D Clinical Medicine at Shanghai Medical College of Fudan University
Github Skills (6)
javas10
parser10
wdl10
java10
testing9
bioinformatics9
Programming languages (2)
Github contributions (5)
openwdl/wdl
Dec 2012 - Dec 2012
Specification for the Workflow Description Language (WDL).
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 commits in 8 days
Contributions summary:Pei primarily contributed to the codebase by merging changes from the 'dev' branch. These merges likely incorporated bug fixes, feature enhancements, or other updates developed in the 'dev' branch into the main development line. The code diffs show changes related to parsing functionality, specifically modifying the `CompositeTaskParser.java` file, suggesting the user was involved in refining the WDL language's parsing capabilities. Further commits show involvement with testing the parsing functionality, specifically by including test data and formatting.
implementationsworkflow-description-languageincrementalopenwdlspecification-language
broadinstitute/snoop
Mar 2015 - Apr 2015
Contributions:19 commits, 12 PRs, 10 pushes in 1 month
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