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I like solving messy data problems and turning them into systems that just make sense. Give me a tangle of spreadsheets, outdated dashboards, or a clunky process, and I’ll transform it into something clean, scalable, and surprisingly usable. I’ve worked across industries (energy, higher education, marketing, infrastructure) each one teaching me how to think creatively, act precisely, and build systems that don’t just work, but work well. I thrive in that sweet spot between deep technical work and practical business impact, where decisions get smarter, teams move faster, and the right data shows up at the right time. In previous roles, I’ve: • Streamlined ETL pipelines across 700+ nodes, cutting hours of processing time • Automated the extraction of 22 years of RFP data, eliminating manual lift entirely • Built dashboards that helped execs uncover millions in missed opportunity • Consolidated redundant code into centralized Python libraries for better scalability • Helped reallocate $50K+ in marketing spend by identifying high-performing lead sources • Created intuitive reporting tools that saved teams 7+ hours a month and reduced errors Tools I use often: Python, SQL, Power BI, GCP/Azure, Snowflake/Databricks, dbt, and a bit curiosity. Whether I’m building a reusable pipeline, visualizing performance for decision-makers, or uncovering patterns no one saw before, I focus on clarity, impact, and getting the job done right. I think like a consultant, build like an engineer, and move like an owner. I’m often the one who volunteers to untangle the hard stuff and then quietly makes it look easy. If you're working on something complex and need a fresh perspective (or just want to nerd out about data), feel free to connect.
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