Personalized Medical Risk Prediction Data Pipeline

Architect an end-to-end data pipeline for generating personalized medical risk predictions using multi-modal health data. Design a system that can securely integrate genetic information, lifestyle data, medical history, and real-time sensor readings. Implement advanced feature engineering techniques, develop privacy-preserving machine learning models, and create a scalable infrastructure for continuous risk assessment.