Christopher Toumanian is a Senior Data Engineer in Los Angeles with eight years of experience building data infrastructure that bridges research and production environments. At FanDuel he has modernized ETL/ELT pipelines using Python, SQL, Airflow, DBT, Spark, Redshift and Databricks while adding streaming capabilities with Kafka and Delta Lake for ML feature stores. His background in broadcast engineering and visual effects gives him a rare blend of low-latency systems, media tooling, and data pipeline automation—skills he used to containerize remote TV production workflows and program live wagering overlays. He has hands-on experience on HPC clusters from his helioseismology work at USC, where he developed research pipelines, Docker/Singularity migration, and even a PyTorch sunspot tracker. Comfortable collaborating with stakeholders and third-party vendors, he focuses on compliance, data governance, and observability for financial and regulatory reporting. Christopher combines scientific rigor with practical product instincts to deliver auditable, production-ready data platforms.
8 years of coding experience
9 years of employment as a software developer
Engineering & Technology, Engineering & Technology at Pasadena City College
Visual Communication, Visual Communication at Mount San Jacinto Community College (MSJC)
Contributions:6 PRs, 19 pushes, 1 branch in 1 year 5 months
electronmedia-library
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