Jason Damiani is a Senior Data Engineer with 11 years of experience building data platforms and ML solutions across financial services, healthcare, and media. He combines strong Python, SQL, Spark, and Airflow expertise to design scalable ETL pipelines and realtime streaming systems, most recently shaping data infrastructure at Barstool Sports. His background includes end-to-end ML work—from NLP prioritization and gradient boosting models at an early-stage radiology startup to productionizing models and massive data migrations at Cisco and Citadel. Jason has a track record of automating large-scale data movement (over a billion rows migrated to Snowflake) and building tooling that simplifies cross-database operations and AWS integrations. He blends hands-on engineering with product sensibility, having shipped web apps, mobile integrations, and containerized services in regulated healthcare environments. Based in Durham, NC with an Industrial and Systems Engineering degree, he brings both optimization-minded rigor and practical, production-focused execution to complex data problems.
11 years of coding experience
6 years of employment as a software developer
Bachelor's of Science, Industrial and Systems Engineering, Bachelor's of Science, Industrial and Systems Engineering at University of Florida
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