Advanced Financial Machine Learning Feature Engineering

Create a PostgreSQL-based feature engineering pipeline for financial machine learning models, implementing advanced statistical transformations, feature selection algorithms, and automated dimensionality reduction techniques. Develop a flexible framework that can process multiple data sources, handle missing values intelligently, and generate normalized feature sets suitable for predictive modeling in trading and investment strategies.