3amory99/Customer-Churn-Data-Analytics-Data-Pipeline ? reverse-engineered prompt

Build me a customer churn data pipeline for a telco dataset, using Python and AWS.

I want it to pull the raw churn data from S3, run the ETL steps on it, and use Airflow to automate the whole workflow. Then have AWS Glue crawl the data, infer the schema, and load the cleaned results into Redshift so it can be queried easily. After that, I want a simple Power BI report connected to Redshift that shows churn trends and a few useful business insights.

Please make it feel like a real end to end project I can run and present, with clear code for the pipeline, the Airflow DAG, and the AWS loading steps. If you need anything from current docs, look it up online. Also include a small sample dataset flow or example so I can see how the pieces connect together.