Govardhan Reddy Moramreddy
Data Engineer Azure Expert ETL • Big Data • Real-Time Analytics
- Role
- Data Engineer at Piper Sandler
- Location
- Mount Pleasant, MI, US
- LinkedIn followers
- 500 followers
About Govardhan Reddy Moramreddy
As a Data Analyst at BNY, I focus on designing and deploying enterprise-scale data…
Experience
Data Engineer
Oct 2024 — Present · US
Description: Leading investment bank providing investment banking, institutional sales, trading, and research services. I am responsible for designing and implementing Azure-based data engineering solutions, building scalable ETL pipelines, and establishing DevOps practices for data platform modernization.• Architected and implemented enterprise-scale data lake solution using Azure Data Lake Storage Gen2 and Azure Synapse Analytics, migrating 5TB+ of trading, research, and market data from on-premises systems to cloud platform, reducing data storage costs by 40% and improving query performance by 55%• Developed 50+ automated ETL/ELT pipelines using Azure Data Factory and Databricks with PySpark to process real-time trading data, market feeds, and financial transactions from Bloomberg Terminal, FactSet, and internal systems, handling 2M+ records daily with 99.9% reliability• Established comprehensive CI/CD pipelines using Azure DevOps and Git for data engineering workflows, implementing automated testing, code reviews, and deployment strategies that reduced deployment time by 70% and eliminated production incidents by 85%• Built real-time streaming data pipelines using Azure Event Hubs, Azure Stream Analytics, and Azure Functions to process live market data and trading signals, enabling real-time analytics and reducing data latency from 15 minutes to under 30 seconds• Implemented infrastructure as code (IaC) using Terraform and ARM Templates for Azure resources provisioning and management, creating reusable modules for data factory pipelines, Synapse workspaces, and storage accounts that improved environment consistency and reduced setup time by 80%• Designed and developed dimensional data warehouse models in Azure Synapse Analytics with star schema architecture for investment banking analytics, research metrics, and portfolio management reporting, supporting 500+ users and enabling executive dashboards in Power BI
Education
Central Michigan University
Master's degree
KL University
Bachelor's degree
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