Point-in-Time Joins in SQL: Building ML Training Datasets Without Data Leakage

You train a churn model. It shows 91% AUC on your held-out test set. You deploy it. It performs no better than a naive baseline. You've just been bitten by data leakage — and the root cause is almost always the same: your training features were compu...