Machine Learning Credit Risk Scoring Data Preparation

Design a sophisticated MySQL data preparation pipeline for machine learning-based credit risk scoring. Create a query that performs advanced feature engineering, handles missing data, applies statistical transformations, and generates a clean dataset suitable for predictive modeling. Include normalization techniques, outlier detection, and produce a schema that can be directly imported into data science tools and spreadsheet platforms.