I have spent eighteen years across consulting, a SaaS company, two utilities-sector roles, and a global manufacturer. In each role I have worked on both the data platform and the business decisions it feeds. The field notes cover the specific episodes in detail; this page is the timeline of the roles behind them.

  • Dec 2024 – present · Colorado Springs Data Project Lead - a 3,500-person global manufacturer I lead a team of seven data and AI engineers. My team and I built the enterprise data lake on Databricks - several dozen structured and unstructured sources into one governed foundation - and I led the BI consolidation onto the lakehouse's native BI, which freed a data scientist to ship the company's first public-facing AI agent. I architected the first unified customer profile with advanced segmentation. My team and I absorbed two acquisitions' data estates and retired roughly a dozen systems in nearly two years. I took about $200K of annual platform run-rate out of ingestion, orchestration, and licensing. My team took on the finance-grade operating-expense reporting, which is used from the C-suite down to cost-center managers, and I designed a weighted cybersecurity maturity score that leadership adopted into roadmap planning.
    Field notes: acquisitions · medallion & Unity Catalog · self-service & data products · cost & compute governance · Lean data ops · maturity scorecard and responsible AI · analytics that moved money · causal business models
  • Apr 2023 – Dec 2024 · remote Lead Data Engineer - E Source, on the NYSERDA Integrated Energy Data Resource (IEDR) I was the lead data and domain-integration engineer on a statewide platform that consolidates utility data for New York. I rebuilt lineage across multi-utility submissions and established the data-quality practice. I also identified that the project's single most expensive software line item was doing geospatial work at the wrong grain, and coached the engineering team to a 98% processing improvement worth six figures a year.
    Field notes: lineage reconstruction on a statewide utility platform
  • 2021 – 2023 · Colorado Springs Analytics Engineer - Colorado Springs Utilities I built the energy-planning warehouse and the rate-impact modeling behind it. Transformer-loading analytics informed roughly half the cost per unit across a fleet of about a thousand distribution transformers - seven figures of avoided capital.
    Field notes: analytics that moved money
  • 2013 – 2021 TeamSnap - Lead Data & Software Engineer (2013–2017) · Sr. Product Manager (2017–2019) · Data Platform Lead / Analytics Engineer (2019–2021) I spent eight years at a youth-sports SaaS of about 175 people. I built the dbt and BigQuery data platform and seven primary datamarts, onboarded four data team members, and shipped the company's first directly monetized data product. As a product manager, I led partner implementations - a national sports federation, background-check screening, and early Apple Pay adoption - under COPPA, GDPR, and CCPA. I negotiated the payments and screening vendor contracts.
    Field notes: analytics that moved money
  • 2012 – 2015 Independent Ruby on Rails developer I built and shipped web applications for clients while the TeamSnap role grew from a part-time engagement into full-time leadership.
  • 2008 – 2012 Deloitte Consulting - Business Technology Analyst, then Consultant My work there was data conversion and test leadership on an enterprise product-administration system implementation.

Education and credentials

  • B.S., Management Information Systems - Carlson School of Management, University of Minnesota (2008)
  • Databricks Certified Data Engineer Professional

People

“Measuring” results is my instinct, and the best measure I have found of my own leadership is what happened to the people I led. On my current team, a Data Scientist has grown into the AI Engineering Lead and a Data Engineer has become a Sr. Data Engineer who now leads the unified customer profile work. From earlier roles, a product manager I worked alongside is now a Chief Operating Officer; an entry-level Ruby engineer I hired is a tech lead at Shopify; a Director of Marketing I built closed-loop attribution for is now a VP of Growth; a non-analyst I coached became a Lead Analyst. In short, they get hired or promoted to the roles they aspire to.