Initial Model Design and Feature Engineering Strategy

You are provided with a dataset of simulated rocket booster telemetry data, including various sensor readings (e.g., pressure, temperature, vibration) over time, and a separate file indicating known anomaly periods. Outline your strategy for preprocessing this time-series data, specifically how you will use `Featuretools` to generate relevant features that capture temporal dependencies and potential indicators of anomalies. Describe the type of anomaly detection model you plan to implement, considering `Gemini 2.5 Flash`'s capabilities for complex pattern recognition or sequence analysis. Justify your choice of model and its suitability for detecting subtle, evolving anomalies in high-dimensional sensor data.