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DeployedMay 2025 - Present

Azure ETL Pipeline

Automated Azure financial cost analysis pipeline using Microsoft Fabric and SQL, reducing a 13-step monthly process from 2-3 hours to 5-10 minutes.

Microsoft FabricAzure Data FactorySQLAzure FunctionsPythonPower BI

Architecture

Automated pipeline using Microsoft Fabric extracts Azure billing data, processes it with SQL transformations, and delivers standardized financial reports with built-in validation and error handling.

Azure Billing Data → Microsoft Fabric → SQL Transformations → Validation → Financial Reports

Key Features

Time Reduction

Reduced processing time by 95% from 2-3 hours to 5-10 minutes through automation.

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Automated Workflow

Transformed 13-step manual process into automated pipeline with minimal manager involvement.

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Fault Tolerance

Built-in error recovery and monitoring for reliable, repeatable financial analysis.

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Data Validation

Automated validation ensures data accuracy and consistency in financial reporting.

Technical Details

Data Extraction & Processing

Built automated system using Microsoft Fabric to extract Azure billing data and SQL for transformations, handling cost categorization and departmental allocation with built-in validation and error handling.

Process Transformation

Before: 13-step manual process requiring 2-3 hours monthly with error-prone data collection.

After: Automated pipeline completes analysis in 5-10 minutes with standardized reporting and minimal manager involvement.

Impact & Results

Automated manual Azure cost analysis workflow, saving managers hours of work monthly

Key Achievements

Reduced data processing time by 95% (2-3 hours to 5-10 minutes)

Reduced manual effort for managers with automated reporting

Built fault-tolerant pipeline with error recovery and monitoring

Delivered reliable, repeatable results for financial analysis

Business Benefits

  • • Enabled reliable monthly financial analysis
  • • Reduced risk of human error in calculations
  • • Standardized reporting format and timing
  • • Presented solution at company sprint reviews