// devondoes.dev
Data engineer. BI nerd. I wrangle data into things people actually use — pipelines, dashboards, automations, and the occasional weekend project that got a little out of hand.
A privacy-first personal finance tracker. It connects to bank and card accounts through the Plaid API, syncs transactions into a local SQLite database, and renders an interactive Streamlit dashboard for spending breakdowns, category trends, and cash-flow over time. There are no third-party servers in the loop — every byte of financial data stays on your own machine.
A from-scratch personal web application built on Node.js with a hand-rolled MVC architecture: dedicated controllers, middleware, routes, and server-side views. No heavyweight framework — just a clear separation of concerns and server-side rendering, used as a sandbox for experimenting with routing patterns, middleware composition, and templating.
A collection of production automation tools built during my time at Walmart. The centerpiece is an internal web platform (JavaScript, HTML, CSS) that enhanced workflow efficiency and was rolled out across the team. Alongside it, a suite of Excel VBA macros — lookup generators, bulk data routines, and custom Outlook rules — reduced repetitive manual work and gave the team faster access to the data they needed for decisions.
Data doesn't lie, but it will absolutely mislead you if you let it. The bottleneck was never the data itself — it was always the question.
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