Real-Time Medical Time Series Database Optimization

Create a high-performance Python database solution for storing and querying continuous medical monitoring data from IoT health devices. Implement a custom indexing strategy using TimescaleDB with SQLAlchemy that can handle millions of time-series data points from wearable sensors with sub-millisecond query performance. Design compression algorithms that reduce storage requirements by at least 60% while maintaining full data fidelity. Include robust error handling for intermittent device connectivity and automatic data interpolation for missing time windows.