Welcome to the Microsot-Azure-Project repository! This repository contains a collection of projects related to Microsoft Azure, spanning various domains and delivering end-to-end ETL/Data Engineering solutions. The projects range from minor tasks to full-scale applications, covering a wide range of topics and technologies.
This repository is dedicated to showcasing projects that demonstrate expertise in Microsoft Azure and related technologies. The projects are designed to deliver end-to-end solutions for data engineering, integration, analysis, and more. Here's what you'll find:
✅ End-to-End Data Pipeline Creation
✅ End-to-End Data Integration
✅ Data Analysis and Visualization
✅ Machine Learning Models
✅ Cybersecurity Implementations
✅ Automation Scripts
✅ Cloud Data Architecture
✅ Data Warehouse Design and Optimization
✅ CI/CD Implementation for Data Pipelines
✅ Data Governance and Security
✅ Scalable Data Solutions
✅ Performance Tuning and Optimization
Each project includes well-documented code, detailed problem statements, and solutions that you can easily replicate or customize.
- Microsoft Azure Services (e.g., Azure Data Factory, Azure Databricks, Azure SQL Database)
- Python for scripting and data processing
- SQL for database management
- Power BI or Tableau for data visualization
- Machine Learning Frameworks (e.g., Scikit-learn, TensorFlow)
- Cybersecurity Tools (e.g., Azure Security Center)
│
│──📁 Telecom Datasets Churn Analytics ETL-Project
│──📁 Azure Incremental Load Realtime Project
│──📁 Multi Cloud Integration With Data Factory
│── [Project 4]
│── [Project 5]
│── .
│── .
│── .
│── ......
Contributions are welcome! If you'd like to contribute, please follow these steps:
- Fork the repository.
- Create a new branch for your feature or bugfix.
- Commit your changes.
- Submit a pull request.
👤 Prayag Verma
👥 Data Engineer
🔗 LinkedIn: → linkedin.com/in/prayagv
🔗 Portfolio: → prayagverma.com
💬 Feel free to raise an issue or contribute via pull requests!
Contributions are welcome! If you have additional exercises, improvements, or suggestions, please fork the repository and submit a pull request.
This project is licensed under the MIT License.