Raj Dange

Bangalore, India

• Designing and implementing end-to-end data migration and archival solutions as part of a large-scale ERP modernization program.
• Architecting Microsoft Fabric-based data integration frameworks to ingest, transform, validate, and load enterprise data from multiple source systems.
• Integrating on-premises Linux-based applications and SQL Server environments with Microsoft Fabric using VMs, staging databases, and an On-Premises Data Gateway.
• Building Fabric Notebooks in Python, PySpark, and SQL for data mapping, cleansing, validation, reconciliation, and business rule implementation.
• Implementing monitoring via Fabric Eventhouse and Fabric Metrics to track pipeline execution and platform health.
• Supporting enterprise data archival using the JIVS Archiving Platform for regulatory compliance and legacy system decommissioning.

Pune, India

• Designed data integration frameworks for ERP migrations across multiple regions using Azure Databricks, ADF, Informatica IICS, SSMS, and Snowflake.
• Used Snowflake as the raw layer and warehouse solution for large-scale enterprise data management.
• Automated data profiling and validation, cutting manual effort by 60% and improving data quality to up to 87%.
• Established CI/CD practices for data pipeline deployments across development and production environments.
• Engineered API orchestration flows using CAI for migrating a legacy CPQ system to its new version.
• Led master data management initiatives and maintained star schema designs for transactional data modeling and reporting.