Design reproducible ML training and data pipelines — ingestion, validation, feature engineering, training, evaluation, continuous training orchestration. Analytics/BI ELT and dbt warehouse pipelines → data-pipeline-design; refactoring general analysis/reporting notebooks (no model training) to production code → notebook-to-production.
