James Gallier is a data engineer with eight years of hands-on experience blending cybersecurity, software engineering, and data analytics to build scalable, impact-driven solutions. Currently at Booz Allen Hamilton, he architects Python libraries and ETL pipelines that process 50M+ healthcare claims, enable real-time analytics, and feed fraud detection models. His background ranges from vulnerability analysis and security operations to supporting UMD research on IoT for dementia, showing a rare mix of defensive security rigor and production data engineering. James turns experimental ideas into reliable systems—using Python, Bash, and PostgreSQL—and often focuses on making tools available for others to solve hard problems. Off the clock he’s the kind of tinkerer who once fixed an Arch Linux install for fun, a small hint at the curiosity that drives his technical growth.
8 years of coding experience
2 years of employment as a software developer
The University of Maryland, College Park
Associate of Arts - AA, Associate of Arts - AA at Mt. San Antonio College
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