Full-Stack Ecommerce Analytics System: Shopify to TableauFull-Stack Ecommerce Analytics System: Shopify to Tableau
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Forma Active Ecommerce Pipeline End-to-End Ecommerce Analytics Pipeline (Shopify → PostgreSQL → dbt → Tableau) Built a full end-to-end analytics pipeline for an e-commerce dataset, simulating a real production data stack from extraction to visualization.
The project started with Shopify-style order data and progressed through a complete modern data engineering workflow.
Key work included:
Extracted and transformed Shopify-like order data using Python (json_normalize, explode for nested structures)
Built a relational PostgreSQL database (Neon) for structured storage
Modeled data using dbt with staging and mart layers
Implemented data quality tests (uniqueness, null checks, referential integrity)
Created analytics-ready models for revenue, customers, and product performance
Built a Tableau dashboard with multiple views:
Sales performance over time
Customer cohort behavior
Product performance and concentration
Final output: a production-style analytics system from raw data ingestion to business-ready dashboards.
This project demonstrates full-stack analytics capability: data engineering, modeling, and visualization.
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