This is a full-stack data engineering + analytics project with:
- ETL using Pyspark
- Fake Order Generator using Python + Faker
- PySpark ETL pipeline to clean and enrich raw data
- Flask dashboard with Bootstrap for styling
- Dynamic Charts using Chart.js
- View data sources in tabular form
- Fully Dockerized
| Component | Tech Used |
|---|---|
| Ingestion | Python + Faker |
| ETL | PySpark |
| Analytics Engine | Pandas, Spark SQL |
| Backend | Flask |
| Charts | Chart.js |
| Styling | Bootstrap |
| Deployment | Docker + Render |