Act as a Lead Data Scientist. I have a dataset of raw e-commerce transactions. Outline a comprehensive feature engineering strategy to predict customer churn. Specifically, address handling temporal data, creating RFM (Recency, Frequency, Monetary) features, encoding categorical variables, and dealing with class imbalance. Provide Python code snippets using Pandas and Scikit-Learn.