Michael Hemenway
Chief Information Officer And Data Integration Scientist
Denver Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolMichael Hemenway is a Chief Information Officer and Data Integration Scientist with two decades of experience designing sustainable data architectures and leading cross-functional teams in higher education and nonprofit settings. He combines hands-on expertise in SQL, Python, Git, ETL best practices and AWS with institutional strategy, having built integrated reporting pipelines, migrated major platforms, and co-founded an AI institute and experimental humanities lab. His background is unusual: a BS in Chemistry and a PhD in Religion whose dissertation examined sacred texts as evolving technological interfaces, informing a human-centered approach to data and pedagogy. He has repeatedly reimagined library and learning spaces, architected online learning platforms, and taught data science and NLP workshops. Known for pragmatic automation and policy development, he balances operational stewardship with experimental initiatives that differentiate institutions. Based in Denver, he brings both deep platform-level skills and a scholarship-driven curiosity to transformative data solutions.
11 years of coding experience
10 years of employment as a software developer
Master of Arts - MA, Bible/Biblical Studies, Master of Arts - MA, Bible/Biblical Studies at Denver SeminaryBachelor of Science - BS, Chemistry, Magna Cum Laude, Bachelor of Science - BS, Chemistry, Magna Cum Laude at University of Puget SoundDoctor of Philosophy - PhD, Religion/Religious Studies, Doctor of Philosophy - PhD, Religion/Religious Studies at University of Denver
Github Skills (3)
python4
in-progress4
sql3
Programming languages (2)
Github contributions (5)
textpotential/bibliarchic
Nov 2016 - Nov 2017
Contributions:1 PR, 168 pushes, 2 branches in 1 year
bible
textpotential/aproximatebible
Jan 2016 - Mar 2022
collection of code used as part of my dissertation
Contributions:143 pushes, 1 branch in 6 years 3 months
machine-learning
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