Data Engineering🔨 Personal Project
E-commerce Synthetic Data Pipeline
Complete ETL pipeline generating synthetic e-commerce data (customers, products, orders) with automated PostgreSQL loading.
Project Overview
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Objective
Build comprehensive data pipeline for generating realistic synthetic e-commerce data with proper relational modeling and ETL automation
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My Role
Data Engineer
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Timeline
1 week
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Tech Stack
Python, Pandas, Faker
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Key Results
- ✓Generated 150 unique customers, 20 products across 5 categories, and 10,000+ transactions for 2024
- ✓Implemented intelligent shipment status logic with proper data integrity constraints
- ✓Built automated CSV-to-PostgreSQL ETL pipeline with validation
- ✓Created complete relational database model (Customers → Orders → Order Items → Shipments)
Impact
10,000+ synthetic transactions generated
Value
Full relational database modeling
🔗Project Links
Tools & Technologies
PythonPandasFakerPostgreSQLSQLAlchemyJupyter Notebook