Kyle Ries is a Data & AI Project Lead with 13 years of experience building data platforms, APIs, and applications that accelerate the energy transition. He designs and ships end-to-end solutions—dbt, BigQuery, Python (Flask/FastAPI), React and cloud-native pipelines—that combine disparate public and private data to power decision-making for utilities and energy programs. Notable projects include architecting New York State’s Integrated Energy Data Resource ingestion and cutting geospatial processing times by 98% through H3 indices and spatial SQL. At Colorado Springs Utilities he translated building and meter data into actionable planning insights that reduced infrastructure needs for electrification. Equally comfortable leading teams and writing production code, he blends product sensibility with hands-on engineering to move projects from prototype to scale. Based in Colorado Springs, he brings a pragmatic focus on reducing real-world friction for electrification through elegant data engineering.
13 years of coding experience
13 years of employment as a software developer
Bachelor's degree Management Information Systems General, Bachelor's degree Management Information Systems General at UMN Carlson School of Management
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