Azure ETL Pipeline
Scalable data processing pipeline using Microsoft Fabric and SQL to automate Azure financial cost analysis, transforming a 13-step, 2-3 hour monthly process into a 5-10 minute workflow.
Process Transformation
Before: Manual Process
- •13-step manual Azure cost analysis process
- •Required 2-3 hours of an engineer's time monthly
- •Error-prone manual data collection and calculations
- •Inconsistent reporting timing and formats
After: Automated Pipeline
- •Automated pipeline completes analysis in 5-10 minutes
- •Zero manager involvement in routine operations
- •Reliable, consistent data processing with validation
- •Standardized reporting with automated delivery
Technical Implementation
Data Extraction & Processing
Built automated system using Microsoft Fabric to extract Azure billing data and SQL for complex transformations, handling cost categorization and departmental allocation with built-in validation and error handling.
Automation & Monitoring
Implemented monthly scheduling with comprehensive monitoring and recovery capabilities. Responsible for ongoing pipeline maintenance, database recovery, and continuous enhancements.
Key Achievements
Achievement 1
Reduced data processing time by 95% (2-3 hours to 5-10 minutes)
Achievement 2
Eliminated manual effort for managers with automated reporting
Achievement 3
Built fault-tolerant pipeline with ongoing support and recovery capabilities
Achievement 4
Delivered highly reliable, repeatable results for financial analysis
Project Scope & Responsibilities
Development & Implementation
- •End-to-end pipeline architecture and design
- •Microsoft Fabric workspace configuration
- •SQL query optimization and data modeling
- •Error handling and monitoring implementation
Ongoing Support
- •Monthly pipeline monitoring and execution
- •Database recovery and backup procedures
- •Continuous enhancements based on business needs
- •Performance optimization and scaling
Business Impact
Transformed manual Azure cost analysis into an automated, reliable workflow, saving managers hours of work monthly
Operational Benefits
- • Eliminated manual effort for managers
- • Improved data accuracy and consistency
- • Enabled reliable monthly financial analysis
- • Reduced risk of human error in calculations
Technical Achievements
- • Transformed 13-step manual process into automated workflow
- • Built resilient system with recovery capabilities
- • Delivered highly reliable, repeatable results
- • Presented solution at company sprint reviews