Gowtham G Email & Phone Number

Virginia Beach, Virginia, United States

At Sentara Health, as an AWS Data Engineer, you will design and implement scalable data pipelines using AWS services like S3, Glue, Lambda, and Redshift to integrate data from diverse sources, including mainframes (VSAM, DB2, GDG, COBOL) and Snowflake. You'll develop ETL processes, manage data governance with AWS Lake Formation, and build data APIs in Python for seamless integration. Additionally, you will optimize performance, security, and cost-efficiency to support real-time analytics, AI, and Machine Learning, empowering the organization’s healthcare analytics and business intelligence strategies.

Westlake, Texas

At Fidelity Investments, I played a critical role in architecting and optimizing data solutionsfocused on financial data processing and analytics. My work centered around leveraging cloud technologies to streamline data workflows, enhance data transformation processes, and drive actionable business insights.

Texas

At Capital One, I played a critical role in developing and managing data solutions focused onenhancing data processing and analytics. My work involved leveraging data modeling techniques, optimizing SQL queries, and integrating Business Intelligence solutions to meet the needs of various commercialorganizations, including Finance, CRM, Sales, and Marketing.

Hyderabad, Telangana, India

As a Data Engineer at HP (July 2013 - November 2015), I played a key role in designing and implementing data pipelines and cloud-based solutions to support business needs. I managed data aggregation, developed data pipelines, and transformed large datasets using AWS technologies such as EMR, S3, and DynamoDB. I integrated Kubernetes for container orchestration and implemented CI/CD pipelines using Jenkins. My work also included applying machine learning algorithms for data prediction, creating Power BI reports, and ensuring robust system monitoring with Prometheus and Grafana. I followed Agile methodologies throughout the project lifecycle, contributing to the successful delivery of scalable and efficient data solutions.