Jenna Allen is a Senior Analytics Engineer with over a decade of experience building high-performance data warehouses, CI/CD-driven pipelines, and tested data products that enable smarter business decisions. She has owned and scaled a 500+ dbt model warehouse, implemented data observability with Elementary, and automated ingestion with Airflow and AWS tools to drive reliability and speed. Her background spans nonprofit data at Candid—where she reduced a 5-week ETL to 7 minutes and helped deliver a $1M product—to insurance analytics, demonstrating an ability to translate complex data into actionable outcomes. Jenna pairs strong SQL and data modeling expertise with practical machine learning and R/Python tooling, and she’s comfortable asking the hard questions that improve data quality and governance. Based in Bend, Oregon, she brings a curious, creative problem-solving style and a laid-back leadership approach that encourages feedback and collaboration. An often-overlooked asset is her bench of lab science experience, giving her a rare mix of experimental rigor and production engineering discipline.
10 years of coding experience
10 years of employment as a software developer
Master of Business Administration (M.B.A.) Business Analytics, Master of Business Administration (M.B.A.) Business Analytics at University of Denver - Daniels College of Business
Bachelor's Degree Biochemistry, Bachelor's Degree Biochemistry at DePauw University
Using AWS RDS and S3 to store data about my dogs' vaccination and medical records. Creating an R shiny app to keep track of and share records with vets. :dog: :dog:
Contributions:73 commits, 67 pushes, 3 branches in 11 months
Contributions:70 commits, 64 pushes, 1 branch in 3 months
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