ADITI Gand

I'm building end-to-end financial data pipelines for Rabobank at Tata Consultancy Services, using Azure Data Factory and Apache Airflow to process high-volume streams from the Global Data Platform.

I've automated Azure DevOps CI/CD deployments with reusable YAML pipelines and reduced recurring IDMC operational incidents by more than 80%. I also led Cloud Data Validation migration from on-premises infrastructure to Azure.

I use complex SQL, SSMS, Informatica, and data validation checks to audit lineage, investigate anomalies, and protect source-to-target integrity across multi-million-record datasets. My Power BI dashboards and DAX calculations give stakeholders visibility into pipeline health, SLAs, and real-time performance.

Across GE Healthcare engagements, I've supported high-availability PowerCenter environments, automated scheduling with IBM TWS and Cronacle, and improved application response times by 40% through SQL optimization. I'm comfortable working across Azure, Linux, ServiceNow, Collibra, and enterprise production operations.