•I work as a data engineer in the hospitality space, where I’ve been focused on solving operational challenges using data. My day-to-day usually involves building and maintaining pipelines, designing lightweight ML models, and helping teams make faster decisions through systems powered by Snowflake, Kafka, and Python-based services.
A lot of my writing explores the intersection of data engineering, AI, and messy real-world environments, especially in industries like resorts, where things rarely go exactly as planned. I’m interested in practical solutions that don't just look good in a notebook, but actually hold up in production. Hopefully, my articles can help other engineers and operators close the gap between tools and outcomes.
