HIPAA-Compliant Patient Data Anonymization Pipeline

Design a Python-based database transformation pipeline that automatically anonymizes patient health records while preserving statistical integrity. Create a solution using pandas and SQLAlchemy that can handle complex medical datasets with multiple relational tables, implementing k-anonymity and differential privacy techniques. The system must support HIPAA compliance, handle PII redaction, and provide an auditable log of all transformations. Include robust error handling for edge cases like partial records, international character sets, and varying data structures.