Capstone: A Validated Feature Pipeline

Day 50 of 100 Days of MLOps, and the Module 5 finale. Assemble the whole module into one clean flow: raw data → validated by a schema gate → transformed into features by a shared pipeline → a reproducible training set. Bad data is blocked at the door, features are consistent between training and serving, and the output is reproducible — the trustworthy data foundation every model deserves. Runs 100% locally on any OS.