HIPAA-Compliant Patient Data Anonymization Pipeline

Design a comprehensive Python data anonymization system for healthcare databases that automatically sanitizes Personal Health Information (PHI) while preserving statistical integrity. Create a robust pipeline using pandas and SQLAlchemy that can handle multiple data sources, implement k-anonymity principles, and generate verifiable audit logs. The solution must support multiple database backends (PostgreSQL, MySQL) and include encryption mechanisms that meet HIPAA de-identification standards. Include error handling for edge cases like partial records and complex nested medical datasets.