Machine Learning Feature Engineering for Financial Predictions

Create a comprehensive Bash data preprocessing framework for preparing financial time series data for machine learning models. Requirements include: 1) Extract and normalize financial indicators from multiple sources, 2) Implement advanced feature engineering techniques, 3) Handle missing data with sophisticated imputation strategies, 4) Generate training and validation datasets, 5) Create reproducible data transformation pipelines. Must support integration with Python and R machine learning libraries.