Data Ingestion and Preprocessing Setup

Set up a simulated BESS telemetry data stream (e.g., Python script generating JSON payloads) for 100 cells across 10 modules. Implement a data ingestion pipeline that processes this stream, performs necessary feature engineering (e.g., moving averages, rate of change), and prepares it for time-series modeling. Document your data schema and preprocessing steps.