Paul Kaefer is a seasoned data and analytics engineer with 13 years of experience building production data pipelines, machine learning models, and BI platforms across healthcare and energy sectors. Currently an adjunct professor in Minneapolis, he teaches analytics and visualization with a focus on both technical tools (Tableau, Power BI, Python) and the ethics and storytelling behind data. His hands-on work spans dbt, Airflow, Snowflake, Terraform, and Tableau Server administration, and he has repeatedly automated complex ETL workflows at Unite Us and Carrot Health. An author and Wikipedian, Paul brings a communicator’s sensibility to technical problems—mentoring students and colleagues while publishing practical Python teaching material. His international experience includes R training and scientific writing support in Tanzania, reflecting an unusual blend of field-facing collaboration and enterprise engineering.
13 years of coding experience
12 years of employment as a software developer
Montini Catholic High School
Master's of Science, Computational Sciences, Master's of Science, Computational Sciences at Marquette University
Contributions:3 commits, 1 push in 7 years 6 months
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Paul Kaefer - Adjunct Professor at University of St. Thomas