James Sopkin is a data engineer with ~5 years of experience building production data and ML workflows for enterprise clients, currently focused at Sargent & Lundy after a high-impact tenure at Prefect. He specializes in Prefect-driven dataflow automation, cloud-native ETL, and optimizing ML pipelines—once cutting model training time by 80% and helping his team secure over $1M in contracts. James combines hands-on engineering (Python, dbt, AWS, Hex dashboards) with product-minded automation that saved clients hundreds of billable hours and simplified renewals work for account teams. As a consultant he’s also shipped consumer-facing apps and RAG agents, integrating CV and generative tools to drive 10x social engagement for clients. He’s pursuing an MS in Analytics at Georgia Tech, blending formal analytics training with practical delivery across startups and enterprise engagements.
5 years of coding experience
4 years of employment as a software developer
Data Science, Data Science at BloomTech
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Georgia Institute of Technology
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