Jonathan Skelton is a Data Engineer IV based in Denver with 8 years of experience building and optimizing enterprise data pipelines and analytics platforms. He has driven measurable impact—improving data accessibility by 30% and cutting ETL processing times by 25%—by integrating diverse sources, automating deployments with GitLab CI/CD, and implementing governance practices. Comfortable across the stack, he deploys solutions using Python, SQL, Alteryx, Dataiku, MongoDB, and BI tools to deliver near real-time insights and interactive dashboards that influence strategic decisions. A former senior data analyst, he pairs hands-on engineering with mentoring experience, helping teams scale their analytical capabilities. Currently pursuing an MS in Artificial Intelligence, he’s focused on the tooling and infrastructure that make enterprise AI practical rather than the models themselves.
8 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree Computer Information Technology and Business Administration, Bachelor’s Degree Computer Information Technology and Business Administration at Northern Arizona University
Master of Science - MS Artificial Intelligence, Master of Science - MS Artificial Intelligence at University of Colorado Boulder
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