Sumanth Kotha

Data Engineer @Goldman Sachs

FL, US

Architected and deployed scalable data solutions using AWS services, including Redshift for data warehousing, Athena for serverless querying, and Kinesis for real-time streaming, enhancing data processing efficiency by 35%.• Constructed and executed effective ETL workflows with Talend, automating data integration procedures and increasing data transformation time while maintaining data quality across platforms.• Established and managed automated workflows in Apache Airflow utilizing DAGs, which streamlined data pipeline orchestration and reduced execution time for complicated data processing activities.• Crafted and deployed scalable NoSQL solutions with DynamoDB, improving database performance for high-speed data transactions and lowering query latency by 25%. • Intended and deployed scalable, secure cloud solutions on AWS, leveraging services like EC2, S3, RDS, Lambda, and CloudFormation for automation, performance, and cost optimization. • Automated deployment processes using Bash/Shell scripting in CI/CD pipelines, streamlining continuous integration and delivery, and reducing deployment time while ensuring reliable releases.• Implemented efficient data pipelines with Python and MongoDB, optimizing data storage and retrieval procedures and increasing performance by 30% for high-volume, unstructured data handling.• Manufactured distributed data processing processes with Spark RDDs, optimizing data transformations and cutting processing time by 40% for large-scale datasets in a fault-tolerant context. • Modeled and optimized ETL workflows using Informatica PowerCenter and SSIS, ensuring efficient data integration, transformation, and seamless pipeline automation.