A collection of Python automation scripts demonstrating various data engineering and workflow automation patterns.
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
- Python 3.x
- pandas - Data manipulation and analysis
- requests - HTTP API interactions
- schedule - Task scheduling
- logging - Comprehensive logging system
- smtplib - Email notifications
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
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
Sends automated email alerts based on conditions or scheduled events.
Features:
- Template-based email generation
- Multi-recipient support
- Attachment handling
- Error logging
Performs automated data quality checks and generates reports.
Features:
- Customizable validation rules
- Anomaly detection
- Summary report generation
- Alert triggering for issues
Batch processes files with automated workflows.
Features:
- Directory monitoring
- File format conversion
- Data extraction and transformation
- Archive management
- 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
- Clone the repository:
git clone https://github.com/shainaqureshi/python-automation-showcase.git
cd python-automation-showcase- Install dependencies:
pip install -r requirements.txt- Configure settings in
config.yaml(seeconfig.example.yaml)
Each script includes a configuration file where you can set:
- API endpoints and credentials
- Schedule timings
- Email settings
- File paths
- Logging preferences
Feel free to fork this repository and submit pull requests with improvements or additional automation examples!
MIT License - Feel free to use these examples for learning and projects.
Shaina Qureshi
- LinkedIn: linkedin.com/in/shaina-qureshi13
- Email: shainaqureshi@gmail.com
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