

Results-driven Azure Data Engineer with 5 years of experience delivering enterprise-scale data engineering, cloud migration, integration modernization, and banking data platform solutions. Expertise in Azure Data Factory, Azure Databricks, PySpark, Azure SQL, ADLS Gen2, Logic Apps, Azure DevOps, Delta Lake, Medallion Architecture, and metadata-driven frameworks. Proven success in migrating 300+ tables to Azure, modernizing legacy integrations, automating regulatory data flows, and improving operational efficiency by up to 80% through automation and reliability engineering.
Professional Experience
Tata Consultancy Services (TCS) | Azure Data Engineer | Jul 2021 – Present
Project 3 – Enterprise Banking Risk & Regulatory Data Platform (Netherlands Bank)
• Designed and maintained metadata-driven ADF and Logic Apps solutions supporting EAD, IRB,RWA, IFRS9 calculators and finance reporting data flows.
• Implemented Medallion Architecture using ADLS Gen2 for scalable and governed data processing.
• Built automated failure-notification framework(SM9 Tasks) reducing incident response time by ~65%.
• Developed restart controller enabling batch recovery from point-of-failure, reducing manual intervention by ~80% and recovery time by ~70%.
• Managed Azure DevOps CI/CD deployments and contributed to AI-assisted development using Copilot.
• Improved onboarding efficiency by ~75% and operational efficiency by ~60% through reusable metadata-driven architecture.
Project 2 – Scribe to Azure Modernization (Finland Financial Services)
• Reverse engineered legacy Scribe integrations supporting fraud-monitoring, customer-data management, test-data provisioning and data-quality workflows.
• Rebuilt integrations using Azure Data Factory and metadata-driven orchestration frameworks.
• Reduced maintenance effort by ~60%, onboarding effort by ~70%, and testing support effort by ~65%.
• Improved integration reliability, monitoring visibility, and cloud adoption across business-critical processes.
Project 1 – Enterprise Data Migration Program (US Banking Client)
• Migrated 300+ banking tables across multiple schemas from on-premises databases to Azure SQL using ADLS Gen2 staging.
• Designed historical-load and incremental monthly batch ingestion pipelines using Azure Data Factory.
• Built reusable metadata-driven ingestion framework reducing onboarding effort by ~75% and manual processing effort by ~70%.
Azure Data Factory
Azure Databricks
Cloud /Data Engineering
PySpark
Python Programming
SQL Development
ETL Processes
Azure Storage Services
ADLS Gen2
Delta Lake Medallion Architecture
Azure Logic Apps
Azure DevOps CI/CD
Metadata-Driven Frameworks
Data Warehousing
Cloud Migration
Enterprise Data Integration
Cloud based Data solutions
Banking & Financial Services