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Python Automation Showcase 🤖

A collection of Python automation scripts demonstrating various data engineering and workflow automation patterns.

📋 Overview

This repository showcases practical automation solutions for common data engineering tasks including:

  • API data extraction and processing
  • Automated data validation and monitoring
  • Email notifications and alerting systems
  • File processing and backup automation
  • Database operations and data pipelines

🛠️ Technologies Used

  • Python 3.x
  • pandas - Data manipulation and analysis
  • requests - HTTP API interactions
  • schedule - Task scheduling
  • logging - Comprehensive logging system
  • smtplib - Email notifications

📂 Project Structure

python-automation-showcase/
├── api_data_fetcher/       # Automated API data extraction
├── email_notifier/         # Email notification system
├── data_validator/         # Data quality checks
├── file_processor/         # Batch file processing
└── utils/                  # Shared utilities

🚀 Featured Scripts

1. API Data Fetcher

Automatically fetches data from public APIs and saves it in structured formats (CSV, JSON).

Features:

  • Configurable scheduling
  • Error handling and retry logic
  • Data transformation and cleaning
  • Automated timestamped backups

2. Email Notification System

Sends automated email alerts based on conditions or scheduled events.

Features:

  • Template-based email generation
  • Multi-recipient support
  • Attachment handling
  • Error logging

3. Data Validator

Performs automated data quality checks and generates reports.

Features:

  • Customizable validation rules
  • Anomaly detection
  • Summary report generation
  • Alert triggering for issues

4. File Processor

Batch processes files with automated workflows.

Features:

  • Directory monitoring
  • File format conversion
  • Data extraction and transformation
  • Archive management

💡 Use Cases

  • Data Engineering: Automate ETL processes and data quality checks
  • Analytics: Schedule regular data pulls and report generation
  • Operations: Monitor systems and send alerts
  • Backup Management: Automated file backup and archiving

🔧 Setup

  1. Clone the repository:
git clone https://github.com/shainaqureshi/python-automation-showcase.git
cd python-automation-showcase
  1. Install dependencies:
pip install -r requirements.txt
  1. Configure settings in config.yaml (see config.example.yaml)

📝 Configuration

Each script includes a configuration file where you can set:

  • API endpoints and credentials
  • Schedule timings
  • Email settings
  • File paths
  • Logging preferences

🤝 Contributing

Feel free to fork this repository and submit pull requests with improvements or additional automation examples!

📄 License

MIT License - Feel free to use these examples for learning and projects.

📫 Contact

Shaina Qureshi


⭐ If you find this helpful, please consider starring the repository!

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