Summary
Carsen Ball is a data engineer in New York with eight years of experience building production data platforms and ML-enabled applications for enterprises like Meta, Capital One, SailPoint, and Ford. He has a proven track record migrating legacy systems to Snowflake, implementing declarative ingestion frameworks with Python and Airflow, and introducing dbt transformations that drove significant cost savings and faster time-to-value. Carsen blends full-stack and ML experience—having built ML-driven loan negotiation tooling with Python, TypeScript, and Spring Boot—and has contributed to feature store APIs that cut data scientist setup from weeks to hours. He’s comfortable translating research-oriented models into maintainable, observable pipelines and often focuses on lowering engineering barriers so teams can ship data products faster.
8 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Montana State University-Bozeman