HIPAA-Compliant Patient Data Anonymization Pipeline

Design a robust Python data pipeline using SQLAlchemy and pandas that automatically anonymizes patient records while maintaining referential integrity. Create a solution that can handle complex medical datasets with multiple related tables, implementing k-anonymity techniques. The system must preserve statistical properties of the original data while completely removing personally identifiable information (PII). Include methods for generating consistent pseudonymous identifiers, handling nested JSON medical record structures, and providing audit logs of anonymization processes.