Summary
Caitlin Johnson is a Staff Engineer in Analytics with eight years of experience building reliable, cost-aware data platforms and spend models, currently driving analytics at AssemblyAI from Krakow. She began in management consulting diagnosing complex cost flows and has since specialized in translating business cost structures into scalable, FinOps-aligned analytics—owning end-to-end spend modeling, near-real-time ingestion, and migrations without outages. Caitlin’s work blends hands-on data engineering (Snowflake, dbt, AWS) with cross-functional leadership, having optimized pipelines for millions of transactions and reduced compute costs dramatically. Notably, she led the adoption of the FinOps FOCUS 1.2 standard at AssemblyAI and increased test coverage and pipeline performance at previous employers, demonstrating a knack for turning messy legacy systems into predictable, auditable analytics.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (B.S.) Biomedical Engineering, Bachelor of Science (B.S.) Biomedical Engineering at Georgia Institute of Technology
Master of Healthcare Administration Health/Health Care Administration/Management, Master of Healthcare Administration Health/Health Care Administration/Management at The University of North Carolina at Chapel Hill
English