Enterprise ETL Management & Data Analytics
ETL management using Azure Data Factory and .NET Core APIs for seamless data integration across multiple sources.
Project Overview
This project focuses on ETL (Extract, Transform, Load) management using Azure Data Factory (ADF) and .NET Core APIs, enabling seamless data integration across multiple sources. It involves webhooks, Google BigQuery, and warehouse storage export jobs to streamline data processing.
The primary goal is to help clients analyze data efficiently and make data-driven decisions using Power BI dashboards and Power Apps. The system automates data extraction, transformation, and loading, ensuring real-time insights for business intelligence.
Key Features
- Automated ETL pipelines with Azure Data Factory
- Real-time data processing and transformation
- Interactive Power BI dashboards
- Webhook integration for real-time updates
- Google BigQuery integration
- Warehouse storage export automation
Technical Implementation
Backend Development
- • .NET Core 6.0 API
- • Entity Framework
- • LINQ for data queries
- • SQL Server Database
- • Azure DevOps
Azure Services
- • Azure Data Factory
- • Azure Logic Apps
- • Azure Functions
- • Azure API Management
- • Azure Web Services
Data & Analytics
- • Power BI Dashboards
- • Power Apps Integration
- • Google BigQuery
- • Data Warehouse
- • Real-time Analytics
Key Achievements
Azure Analysis Service
Successfully implemented Azure Analysis Service for advanced data modeling and analytics capabilities.
- • Tabular data models
- • DAX calculations
- • Row-level security
- • Real-time data refresh
Microservices Architecture
Implemented Azure microservices including Azure Logic Apps and Azure Functions for scalable data processing.
- • Event-driven architecture
- • Scalable processing
- • Fault tolerance
- • Cost optimization
Company Achievements
Project Excellence
- • Managed project quality and consistency
- • Ensured timely delivery
- • Coordinated with stakeholders
- • Resource allocation and planning
- • Risk management and mitigation
Technical Innovation
- • Designed and developed backend components
- • Implemented automated testing
- • Managed Azure DevOps deployment
- • Created comprehensive documentation
- • Performance optimization
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