Summary
Jon Johnson is a Senior Software Engineer based in Los Angeles with seven years of experience building data-driven systems for the media and advertising industries. He blends a music-rights background with strong engineering skills—Python, AWS, Docker, Spark, Airflow and Postgres—to migrate legacy platforms, build ETL pipelines, and stabilize production data services. At Nielsen he moved monolithic Oracle/cron workflows to scalable Airflow + RDS architectures and contributed front-end ML features earlier in his tenure. His projects include SongIndex, a scikit-learn cosine-similarity recommender that showcases his knack for turning messy metadata into useful product features. Colleagues rely on him to surface the small, high-impact data issues that often derail operations, and he documents datasets and quality checks to keep teams aligned. He’s equally comfortable debugging production logs as he is translating complex rights and royalties nuance into actionable engineering requirements.
8 years of coding experience
7 years of employment as a software developer
Data Science Immersive, Data Science Immersive at General Assembly
BA, Music Business, BA, Music Business at McNally Smith College of Music