Rich Fernandez is a Principal Data Engineer with 11+ years of hands-on experience building and scaling data platforms for startups and enterprises, now based in Colorado. He blends deep Python and AWS expertise—often with admin-level access—with a strong background in finance and media analytics, having automated large-scale processes early in his career to save thousands of hours. Rich has a track record of hiring and mentoring engineers while remaining a pragmatic individual contributor, shipping serverless solutions and contributing bug fixes to notable open-source projects like Zappa. Comfortable across ETL, data science engineering, and product-focused analytics, he thrives on cross-functional collaboration and operationalizing data to accelerate delivery. A former hackathon winner and early adopter of Jupyterhub and Lambda for analytics pipelines, he brings startup scrappiness plus disciplined, production-grade engineering to tackle meaningful large-scale problems.
12 years of coding experience
15 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at City University of New York-Baruch College
Contributions:9 commits, 8 PRs, 17 comments in 1 year 2 months
Contributions summary:Rich primarily focused on bug fixes and improvements to the `zappa` library, a serverless Python framework. Their work involved addressing issues related to Lambda function deployment and versioning, specifically resolving exceptions and argument name discrepancies. They also added references and warnings to improve the user experience. The user demonstrated an understanding of AWS Lambda and related services by fixing code that interacts with these services and the related error handling.
Contributions:4 releases, 97 commits, 38 PRs in 1 year 9 months
pandaspandas-dataframepython
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