ketan khurana

At GlobalLogic, I build scalable data pipelines and event-driven GenAI systems on AWS, Snowflake, and FastAPI. I developed a Claude-powered platform that automates test bank and instructor manual creation using DynamoDB, Bedrock, SQS, OpenSearch, and Langfuse.

I design ingestion, transformation, and near-real-time processing pipelines across APIs, flat files, JSON, relational databases, and cloud services. My work includes AWS Glue and Lambda ETL workflows that reduced processing time by 50%, as well as auto-scaled Docker applications deployed through ECR and ECS.

Previously at Capgemini, I built Azure Data Factory and Databricks pipelines that reduced processing time by 40%, alongside data lake architectures on ADLS and monitoring automation with Azure Functions. At TCS, I delivered CSV-to-XML and concurrent SQL-processing automation that reduced processing time by 99%.

I work closely with data scientists, analysts, clients, and stakeholders to turn data requirements into secure, maintainable data architecture. I also bring CI/CD discipline through GitHub workflows, pull requests, code reviews, automated testing, Liquibase, and least-privilege IAM practices.