Tiny ETL Pipeline (Beginner Python Project)

🔧 Overview

This beginner-level ETL project demonstrates how to extract data from a CSV file, transform it using Python and Pandas, and load the cleaned output into a new file.

🛠️ Tools Used

• Python
• Pandas
• Jupyter Notebooks
• GitHub for version control

📁 Folder Structure

/data         → raw input CSV files
/output       → cleaned/transformed CSV files
/scripts      → Python ETL scripts
/notebooks    → Jupyter notebooks for exploration

📌 Key Steps

1. Extract: Load raw CSV data
2. Transform: Clean, filter, and reshape the data
3. Load: Save the cleaned dataset to /output
4. Document the process in a notebook

✅ Results

• A simple, reproducible ETL pipeline
• Cleaned dataset ready for analysis

🚀 Next Steps

• Add logging
• Add error handling
• Turn the ETL script into a scheduled automation