Chris Selig's Cube

Profile

• I build data pipelines, dashboards, models, and automation for organizations that would prefer fewer manual processes and fewer mystery spreadsheets. My background spans data engineering, analytics, business intelligence, reporting, and statistical analysis, so I'm just as comfortable cleaning up upstream data as I am turning it into something useful downstream. I work mainly in Python, SQL, Databricks, Spark, Power BI, and R, and I'm also comfortable with Excel, KNIME, Spotfire, Power Automate, Azure Data Factory, and Synapse. These days, I also use AI tools like Claude Code, GitHub Copilot, Microsoft 365 Copilot, and ChatGPT as part of how I work — whether that's accelerating development, pressure-testing ideas, or helping turn rough concepts into usable solutions faster. Most of my work has been about turning scattered, awkward, or stubborn data into something reliable, practical, and decision-friendly. I like solving messy problems, building things that people actually use, and quietly retiring bad manual processes whenever possible.