Experienced IT professional with over 15+ years of expertise, transitioning to Cloud AWS development and specializing as an AWS Data Engineer. Proven ability to design, develop, and maintain scalable and secure data infrastructures using AWS services. Highly skilled in data pipeline implementation, cloud infrastructure, and automation. Adept at leveraging AWS services like Glue, Redshift, Kinesis, and Lambda to transform raw data into actionable insights.Specialized as an AWS Data Engineer, focusing on building and managing data pipelines using AWS services.Implemented data ingestion, processing, and storage solutions utilizing AWS Glue, Redshift, and Kinesis.Developed and deployed data transformation scripts using Python and SQL, optimizing data workflows and storage solutions.Managed Kubernetes clusters and integrated CI/CD pipelines to streamline development and deployment processes.Implemented data pipelines using Python and AWS services such as S3 for storage and Glue for ETL (Extract, Transform, Load) processes, enhancing data workflow efficiency and scalability.Worked on AWS Glue, Step functions & AWS Athena.Expertise in AWS Organization / AWS Control Tower orchestration / Landing Zone.Migrated workload to AWS cloud leveraging EC2 and S3 for efficient scaling, increasing efficiency by 40%.Developed end-to-end data analytics framework utilizing Amazon Redshift, Glue and Lambda enabling business to obtain KPIs faster with reduced costsWorked on AWS Cloud Services for Infrastructure – IAM, EC2, S3, VPC, EKS, ECS, RDS, SQS, SNS, Cloud front, Cloud watch, Glue, AWS Step Functions, Lambda, ELB, EBS, Elastic Beanstalk, Route 53, SES, RDS, API Gateway, Cloud HSM, AWS shared service, Data pipeline and AMAZON Bedrock.Worked on Devops for Jenkins and container/Orchestration Tools: AWS ECS, EKS, Docker, Kubernetes/K8S