Francis Breetz
Rapid Innovation Architect
Dayton, Ohio, United States
Summary
👤
Senior🎓
Top SchoolFrancis Breetz is a Rapid Innovation Architect with nine years of experience designing and delivering data platforms and pipelines across defense and commercial settings. He blends deep hands-on skills in data modeling, ETL, streaming (Kafka), and cloud platforms (AWS, GCP) with practical automation—most notably accelerating Airflow migrations from weeks to hours via a Flask-based tool. At LinQuest and The Perduco Group he shaped data architecture roadmaps and governance for high-stakes customers, while at Astronomer he cut onboarding time by two-thirds through metrics-driven pipeline work. Early experience building custom .NET integrations for ERP and CAD/CAM systems gave him a pragmatic systems-integration mindset that complements his OMSCS machine learning studies at Georgia Tech. Based in Dayton, Ohio, he mentors mid- and junior-level architects and focuses on turning complex requirements into reproducible, production-ready data solutions.
9 years of coding experience
11 years of employment as a software developer
OMSCS, Machine Learning, OMSCS, Machine Learning at Georgia Institute of TechnologyBachelor of Science (BS), Physics, Bachelor of Science (BS), Physics at Northern Kentucky University
Github Skills (30)
data-pipelines10
monitor10
python10
data-science10
data-engineering10
machine-learning10
workflow-engine10
apache10
scheduler10
etl10
automation10
dag10
mlops10
airflow10
elt10
Programming languages (2)
Github contributions (5)
frankbreetz/airflow
Sep 2021 - Dec 2022
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Contributions:2 PRs, 10 pushes, 5 branches in 1 year 3 months
monitorapacheprogrammaticallyapache-airflowairflow
astronomer/migrate-to-astro
Jul 2022 - Nov 2022
Customer facing utilities to help customers migrating from Software/Nebula to Astro
Contributions:1 review, 12 commits, 5 PRs in 4 months
customer-facingcustomersastronebula
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