From Raw Data to Retail Dashboard: BigQuery + Python End-to-End Project
In this project, I walk through an end-to-end retail analytics workflow using BigQuery, Python, and Looker Studio.
We start with raw ecommerce transactional data from BigQuery, explore and profile the dataset, apply business logic to define valid revenue, and build a clean fact table.
From there, we create a reporting-ready mart table, validate our transformations using Python, and finally build an executive dashboard in Looker Studio.
This project demonstrates a complete analytics workflow:
Data inspection and understanding
SQL-based transformations
Python profiling and validation
KPI definition and standardization
Dashboard design and delivery
Tools used:
BigQuery, SQL, Python (pandas), Looker Studio
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