I build tools and systems that make data reliable, accessible, and useful.
My background spans data analysis, systems administration, process automation, and compliance-regulated environments. I have spent the better part of a decade solving operational problems by building things — from Python ETL tools and Excel automation systems to Power BI dashboards and local LLM applications. The through-line in all of it is the same: find where the friction is, understand what the people closest to the problem actually need, and build something they can own and use without coming back to me every time.
I work daily with SQL, Python, and Power BI, and I integrate AI tools including Claude, GitHub Copilot, and Microsoft Copilot into my workflows as standard practice. I have operated within FERPA and HIPAA compliance frameworks, which means data accuracy and responsible access are foundational to how I approach every project.
Outside of professional work I contribute to open source projects, participate in knowledge-sharing forums, and volunteer time to help others navigate the technology landscape. Giving back to the community that helped shape my skills is something I take seriously.
I am currently open to data analyst, systems analyst, and data operations roles at companies where building reliable, impactful data systems is the core of the work.