Slow, opinionated essays on data engineering, machine learning and the parts of an analytics career that nobody puts on the slide. Written for people who would rather read 1,500 careful words than skim ten.
A defence of boring, idempotent ELT — why running the same SQL again on Monday morning should produce the same numbers, and what that actually costs to enforce in a real warehouse. With concrete patterns for late-arriving facts, dedup windows and "soft re-runs" in Redshift.
What two years of automating banks and e-commerce processes taught me before I jumped to a data role — and which of those lessons turned out to be portable, which were a trap, and what I would tell a junior RPA developer eyeing the same move today.
Field notes from a TÜBİTAK-funded undergraduate project on brain tumor segmentation. Less about architectures, more about the unglamorous decisions — normalisation, patch sampling, honest evaluation — that decide whether your Dice score means anything at all.