data_engineer.init()
I turn messy data into things that actually work. Sometimes I explain it to my family. They nod politely.
┌─ subject.info ─────────────────────┐ │ name Alejandro Marchán │ │ role Data Engineer │ │ location Madrid, Spain │ │ education CS · UC3M │ │ status ● employed @ Verisure │ │ languages Python · Scala · SQL │ └────────────────────────────────────┘
I've spent 6+ years building data systems that handle millions of records daily — mostly at scale, occasionally at 3am.
I like problems where the interesting part isn't the algorithm, it's understanding what the data is actually trying to tell you.
Outside of work: amateur football stats nerd, Renfe schedule obsessive, and builder of things nobody asked for but someone ends up using.
K-Means clustering applied to aesthetics. Upload photos, get a mosaic.
NLP on your chat history. Stats your contacts will argue about.
Scraped, cleaned and served fresh. Interactive stats for people who argue with data.
Real-time train positions. Because waiting on the platform is for people without a terminal.
Final thesis: bark detection with AI. Neural networks for a very specific problem.
Bathroom visit tracker during a trip to India. Science demands data, even the uncomfortable kind.
If you've made it this far, you've seen the whole pipeline. Let's build something.