Sai Harshith Reddy Gaddamidhi

Senior Data Engineer @Merck

Rahway, NJ, US

Built scalable microservices with Docker & Kubernetes, deploying ML models as APIs and packages for seamless backend integration and scalable inference pipelines. Led the migration of on-prem Oracle and Teradata systems to Azure Data Lake and Synapse, modernizing legacy architecture and increasing data accessibility and agility. Created dynamic, real-time dashboards in Power BI, integrating with Azure Synapse for executive insights and enabling faster, data-driven decisions. Enhanced data quality and governance by developing SQL, Hive scripts, and modeling frameworks, ensuring consistent and compliant data across platforms. Built scalable ETL pipelines on AWS using Glue, Lambda, and Redshift to support analytics and reporting across multi-terabyte datasets. Designed and optimized data lakes on S3 with Glue Data Catalog and Lake Formation for governance and secure access management. Implemented real-time data ingestion using Kinesis Data Streams and serverless transformations with Lambda. Migrated on-premises databases to AWS using DMS, reducing operational overhead and improving reliability. Developed ad-hoc querying and analytics using Amazon Athena and optimized Redshift performance for cost efficiency. Automated data workflows and infrastructure with Step Functions, CloudFormation, and S3 lifecycle policies. Monitored and optimized pipeline performance and costs using CloudWatch and implemented alerts for proactive issue resolution.

Jawaharlal Nehru Technological University Hyderabad (JNTUH)

Bachelor's degree

Clark University

Master's degree