Ravi Kumar Samineni

Led data ingestion pipelines using Hadoop/Spark streaming and Kafka; stored features in DynamoDB and PostgreSQL; deployed and managed AWS infrastructure (VPC, EC2, S3, RDS, DynamoDB, Redshift, Lambda, SNS, SQS, CloudWatch); automated cloud operations with Python; authored CloudFormation templates and Terraform IaC; built and managed EMR clusters; established CI/CD with CodePipeline; implemented IAM/security groups, and monitoring.

Architected and delivered full-stack enterprise applications using Java 11/17, Spring Boot, Spring Cloud and React.js; implemented Node.js-based proxy for event-driven I/O; built real-time streaming pipelines with Kafka Streams; integrated REST APIs with Angular front-end; containerized apps with Docker; configured AppDynamics for monitoring and OpenSearch for logging; implemented OAuth 2.0; developed Kafka producers/consumers; deployed to Kubernetes and PCF; led CI/CD pipelines with Jenkins; implemented centralized configuration with Spring Config Server.

Sr. Software Engineer focusing on data pipelines and cloud-enabled solutions using Hadoop, Spark, Kafka, DynamoDB, and Postgres. Built data ingestion/processing workflows and deployed on AWS (VPC, EC2, S3, RDS, DynamoDB, Redshift, Lambda, SNS, SQS, CloudWatch, EMR). Automated infrastructure with Python and Terraform/CloudFormation. Led end-to-end deployments and promotions with CodePipeline; built and managed EMR clusters; implemented IAM in VPC and CI/CD pipelines.