Analyzed overall sales, transactions, and product performance, including top-selling items, revenue distribution by segment and category, and membership impact.

Use Python and Pandas to construct an ETL pipeline for creating a data warehouse with a star schema, followed by data visualization using Metabase.

Develop a Glue ETL job to extract data from an S3 bucket, perform cleaning using Spark, and store the processed data in Parquet format back to S3.

Utilize Airflow on EC2 to schedule a data pipeline for ingesting data from S3, cleaning it with Spark on EMR, saving the processed data back to S3.