Prahasit Reddy

Data Engineer @Wells Fargo

US

Engineered and deployed advanced ETL workflows using Azure Data Factory and SSIS, integrating diverse financial data sources to enhance pipeline efficiency, support legacy systems, and reduce processing time by 30%.• Implemented batch and real-time processing workflows using PySpark on Azure Databricks, integrating with Azure Event Hubs and Delta Lake, to process over 2 TB financial data daily, resulting in 15% faster data processing and reducing latency by 10%.• Created advanced DAX measures for portfolio analysis, including risk-adjusted returns, compliance thresholds, and trendvisualizations, enabling rapid insights for financial decision-makers.• Partnered with data analysts to implement modular, testable data transformation models using dbt on Azure Synapse, improving data quality and maintainability across analytics workflows.• Designed and automated operational reports using SSRS and built interactive Power BI dashboards by integrating financial and operational data from Azure Synapse and MS SQL Server, providing real-time insights for regulatory compliance, and risk monitoring.• Provisioned and managed cloud infrastructure using Terraform, and automated CI/CD pipelines with Azure DevOps, GitHub Actions, Docker, and Kubernetes, ensuring consistent deployments and significantly reducing release cycle time and downtime.