Paul Wildenhain is a data integration analyst with eight years of experience building reproducible data infrastructure and operational pipelines in clinical and quality-improvement settings. At Children’s Hospital of Philadelphia he leads end-to-end data efforts for national registries, developing dbt-templated SQL, Airflow orchestration, and Python desktop and web apps to automate multi-institutional data collection, validation, and reporting. He blends product-minded ownership—acting as sprint product manager and mentor—with hands-on engineering, improving developer workflows, CI, and monitoring. An active open-source QA contributor to the widely used SQLFluff project, he has strengthened test coverage and reliability for SQL linting across dialects. Paul’s background in economics and prior product-analytics roles gives him a pragmatic focus on stakeholder-driven metrics and reproducible research outcomes.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Arts (BA) Economics, Bachelor of Arts (BA) Economics at University of Connecticut
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Role in this project:
QA Engineer / Test Automation Engineer
Contributions:1 release, 184 reviews, 72 commits in 2 years 2 months
Contributions summary:Paul primarily focused on improving the testing coverage and quality of the SQLFluff project. They implemented tests for comma style enforcement, configuration validation, and rule compliance. Their contributions included adding new test cases, refactoring existing tests, and ensuring that unsupported configurations raised appropriate errors. This work directly contributes to the reliability and maintainability of the SQLFluff linter.
Contributions:82 commits, 23 PRs, 23 pushes in 8 months
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