Chris Luedtke
Manager, Data Engineering
Cincinnati, Ohio, United States
Summary
👤
Senior🎓
Top SchoolChris Luedtke is a data and cloud engineering leader with nine years of experience building ML-driven products, reliable data pipelines, and user-focused interfaces for mission-driven organizations. Currently Manager of Data Engineering at Mastery Logistics Systems, he has progressed through hands-on roles from Machine Learning Engineer to manager, delivering production ML models, dashboards, and ETL architectures. His background blends rigorous data-science training (BloomTech) with applied analytics work—like a national tutor-placement optimization that saved hundreds of thousands in commute costs—and practical coaching to embed data practices in teams. An active contributor to Chicago’s Python and civic tech communities, Chris combines creative problem solving with a focus on operational reliability and human-centered design.
9 years of coding experience
8 years of employment as a software developer
Data Science Machine Learning Artificial Intelligence, Data Science Machine Learning Artificial Intelligence at BloomTechBachelor of Science (B.S.) Psychology, Bachelor of Science (B.S.) Psychology at University of Wisconsin-Madison3rd Place Finalist, 3rd Place Finalist at Chicago Python Users Group Mentorship
Github Skills (159)
python10
etl10
automation10
mlops10
orchestration10
apache-airflow10
data-engineering10
scheduler10
elt10
data-integration10
monitor10
data-pipelines10
data-science10
workflow-engine10
apache10
Programming languages (12)
Github contributions (5)
chrisluedtke/data-science-journal
Feb 2019 - Sep 2019
Personal repository of data science demonstrations and references
Contributions:85 commits, 65 pushes in 6 months
pythonsciencedata-sciencemachine-learningpersonal-repository
chrisluedtke/divvy-data
Feb 2019 - Mar 2019
Python API and analysis of Chicago's bikeshare
Contributions:58 commits, 50 pushes, 1 branch in 1 month
apichicagopythontransportationbikeshare
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