About
Data engineer and analytics systems builder with a systems-engineering background, strong SQL/Python instincts, and a bias toward work that helps people make clearer decisions.
I build data pipelines, analytics systems, and AI-driven tools that turn messy information into something people can actually use. What ties my work together is not one specific tool or trend — it is a systems mindset. I like tracing how information moves, where it breaks down, and what kind of structure makes it more reliable, useful, and easier to act on.
My background sits across systems engineering, analytics, and applied data work. I earned a Master's degree in Systems Engineering from George Mason University and a Bachelor's in Industrial & Systems Engineering from Virginia Tech. Early in my career, I worked in defense and fuel-logistics-adjacent environments where clear process thinking and decision support mattered. More recently, I worked as a technical lead in membership data at the National Association of Home Builders, building reporting layers, dashboards, recurring analytics workflows, and data products that supported leadership across a large national organization.
The work I am most drawn to lives in the overlap between data engineering, analytics engineering, and decision-support tooling. That includes SQL- and Python-based pipelines, KPI systems, reporting layers, RAG/document workflows, interactive D3 storytelling, and end-to-end projects that connect data infrastructure with actual operational questions.
What I tend to build
- • Data pipelines and reporting layers that reduce manual work and increase trust in metrics
- • Analytics systems and dashboards that help operators and leadership see what matters faster
- • AI and RAG workflows that make document-heavy knowledge easier to search and use
- • Interactive visualizations and data products that turn complex topics into something understandable
I also like projects with personality. Some of the work in this portfolio is more experimental, playful, or design-heavy than a standard case study. I keep that side visible on purpose: curiosity, taste, and the ability to build interesting things are strengths as long as the core signal stays clear.
Right now I am especially interested in opportunities where I can contribute as a data engineer, analytics engineer, business intelligence engineer, or in adjacent AI/data workflow roles. The best fit for me is usually a team that values strong systems thinking, pragmatic execution, and data work that leads to better decisions.
If you'd like to collaborate, feel free to connect with me on LinkedIn or reach out directly.