Location: Kansas City metro, US Remote: Yes Willing to relocate: Yes Technologies: Python, SQL, SQLite, Parquet, pandas, GitHub Actions, ESP-IDF/C, DSP (RANS

Location: Kansas City metro, US Remote: Yes Willing to relocate: Yes Technologies: Python, SQL, SQLite, Parquet, pandas, GitHub Actions, ESP-IDF/C, DSP (RANSAC phase-slope fitting), web scraping, ETL Résumé/CV: https://braedenkeena.pages.dev https://braedenkeena.pages.dev Email: Braeden@thekeenas.com Data engineer. I build recurring collection pipelines against public sources, and the thing I care most about is the failure mode where a pipeline keeps reporting success while returning nothing. Recent: a daily multi-operator price-tracking pipeline with immutable dated snapshots and coverage guards that fail the run rather than write an empty file; an ESP32 WiFi CSI array doing RF fingerprinting from clock-offset features (99.7% device ID over 7,497 windows on one receiver, 95.7% over 14,234 once a second receiver joins — a cross-receiver generalization gap); scrapers against county permit portals. Operations background before this, which is why I am comfortable being the person in the room who can talk to the engineers and to the people paying for the thing.