Building a Retail Data Pipeline

Building a Retail Data Pipeline

Create a robust ETL pipeline to process Walmart’s retail data efficiently.

Master core data engineering skills by building a data pipeline for a multinational retail giant—Walmart. You'll extract data from sources like SQL and Parquet files, transform it using Python, and load it into a format optimized for analysis. This project equips you to manage real-world data workflows in e-commerce environments.

• Extract data from SQL databases and Parquet files.
• Perform data cleaning and transformation using Python.
• Load prepared data for downstream analytics and reporting.
• Build a scalable ETL pipeline reflecting real business use cases.