Luke De Mouy is a seasoned data engineer with a decade of hands-on experience building streaming solutions and backend systems, currently driving data initiatives at Lockheed Martin after leading streaming work at General Motors. He specializes in large-scale Spark and Kafka pipelines, Kubernetes orchestration, and cross-team data reliability, having supported use cases for over 100 million vehicles including recall and OnStar workflows. Comfortable in C++, C#, Java, Python, Rust, and Scala, he combines production-grade engineering with tooling work—authoring a Rust SLA monitor for Spark and creating a VIN-comparison analysis tool that dramatically sped audits. Beyond enterprise engineering, he has led game development and startup projects, reduced technical debt through platform migrations, and mentored new hires, reflecting a pragmatic blend of systems thinking, cross-domain curiosity, and an appetite for solving messy, large-data problems.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Ira A. Fulton Schools of Engineering at Arizona State University
Contributions:10 PRs, 13 pushes, 2 branches in 10 months
game-enginemessagegame-development
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