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Simple Python ETL Project

Overview

This project provides a lightweight, flexible ETL (Extract, Transform, Load) pipeline implemented in Python. It demonstrates core ETL principles by extracting data from various sources, applying transformations, and loading the processed data into a target destination.

Features

  • Data extraction from multiple sources (CSV, JSON, APIs)
  • Flexible data transformation capabilities
  • Support for multiple destination formats
  • Logging and error handling
  • Configurable pipeline stages

Prerequisites

  • Python 3.8+
  • pip (Python package manager)

Installation

  1. Clone the repository:
git clone https://github.com/rishipatel9/python-elt-project.git
cd python-elt-project
  1. Create a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
  1. Install dependencies:
pip install -r requirements.txt

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Extract, Transform, Load Pipeline

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