Paul Gibeault is an AI Architect and seasoned software leader with over two decades of experience building production-grade systems at Micron, from low-level Perl/C++ frameworks to enterprise-wide data platforms. He led global teams to design scalable ingestion and orchestration solutions—most notably migrating 5,000+ pipelines to Snowflake and creating reusable NiFi→Snowflake patterns published as SnowflakeNiFiProcessors on GitHub. Paul blends hands-on engineering (C#, WPF, Java, Python, FastAPI) with pragmatic platform thinking, having created GDML/SMAPI to simplify secure data access across complex manufacturing domains. Recently he’s focused on GenAI infrastructure and agent orchestration, shipping a production Search+Q&A framework that standardizes processing steps for LLM-driven workflows. Based in Boise, he pairs a knack for developer productivity tools with a brewer’s patience and a track record of turning messy, distributed data problems into repeatable, automated solutions.
9 years of coding experience
21 years of employment as a software developer
Bachelor of Science in Computer Science Computer Science, Bachelor of Science in Computer Science Computer Science at University of Idaho
This repository contains NiFi processors for interacting with Snowflake Cloud Data Platform.
Contributions:1 review, 23 commits, 17 PRs in 3 years
cortexnifiprocessorsfluentdsnowflake
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