Lukas Coffey is a Data Consultant specializing in Engineering and MLOps with nine years of experience building production data platforms, APIs, and ML microservices. He blends a strong mathematical and statistical foundation from Virginia Tech with full-stack software roots, enabling end-to-end solutions from data ingestion and transformation to deployable models and CI/CD pipelines. Lukas has driven measurable business impact—leading an Azure FinOps initiative that uncovered over $1M in cloud savings—and repeatedly delivered cost-conscious migrations to Snowflake and Databricks. Comfortable in Python, SQL, shell scripting, and cloud-native tooling (Azure, AWS, Databricks), he partners closely with data science teams to translate models into reliable services. Based in Charlotte, he still enjoys writing elegant code himself rather than outsourcing it to AI, combining craft with practical production experience.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS CMDA - Computational Modelling and Data Analytics, Bachelor of Science - BS CMDA - Computational Modelling and Data Analytics at Virginia Tech
Associate of Arts and Sciences (A.A.S.) General Studies, Associate of Arts and Sciences (A.A.S.) General Studies at New River Community College
The blog dedicated to CMDA students at Virginia Tech, and all aspiring data scientists. Built with Jekyll, tailwindcss, and coffee. Lots, and lots, of coffee.
Contributions:27 commits, 6 PRs, 24 pushes in 4 months
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Lukas Coffey - Data Consultant Engineering & MLOps