Machine Learning Feature Store with Dynamic Schema Evolution

Build a feature store database architecture that supports dynamic schema evolution for machine learning pipelines, handling feature versioning, lineage tracking, and automated feature generation. Create a system that can manage feature metadata, support complex feature transformations, provide versioned feature sets, and enable reproducible ML experiments. Include strategies for handling feature drift and automatic feature deprecation.