Naresh Kumar Reddy Email & Phone Number

9+ years of Experience in IT Industry with 4+ years’ experience of Devops & Cloud technologies includes DevOps,AWS and Azure Cloud Technical Architecting enterprise level. Setup/Managing Linux and windows Servers on Amazon EC2 and Fargate Launching Amazon EC2 Instances (Linux and windows) using AWS console and terraform and configuring launched instances with respect to specific applications. Creating/Managing AMI/Snapshots/Volumes, Upgrade/downgrade AWS resources (CPU, Memory, EBS) Familiar with AWS architecture such as VPC, Subnets, Security Groups, NAT gateway, NACL’s Create/Managing buckets on S3 and IAM management using AWS CLI, python and terraform. Familiar with AWS auto scaling groups and created AMI’s that utilizes AWS auto scaling Implemented Load Balancing strategies using AWS ALB’s/ELB’s/NLB’s Extensive use of AWS Systems Manager for automating configuration changes on the servers. Proficient in Server maintenance and system administration activities. Usage of AWS Lambda for some automated jobs with the integration of CloudWatch events and AWS batch. Setup/Managing Databases on Amazon RDS and redshift and providing data solutions for clients. Implemented and maintained the monitoring of AWS resources using AWS CloudWatch, Datadog and alerting using AWS SNS. Experienced in deployment of web applications such as Apache Web server, and IIS servers on Linux and windows respectively Hand-On experience in Build and Deployment of CI/CD pipelines, managing projects often includes tracking multiple deployments across multiple pipeline stages (Dev, QA, Staging and production). Implemented Continuous Integration using Gitlab Experienced with Continuous Integration / Continuous Deployment Tools like Jenkins/Gitlab and experience with Maven Build Frameworks. Experience in Docker and containerization of flask application. Closely worked with development, QA and other teams to ensure automated test efforts are tightly integrated with the build system and in fixing the error while doing the deployment and building Experience writing Shell, Python scripts to automate the deployments Hands on experience in Amazon Web Services AWS provisioning and good knowledge of AWS Services: Ec2, Elastic Beanstalk, VPC, RDS, S3, IAM, Cloud Front, Cloud Watch, Cloud Trail, Cloud Formation, DynamoDB, Lambda, Route53, SNS, SQS, API Gateway, Code Pipeline, Code Build, Elastic Search, Code Deploy etc. Implemented monitoring and logging solutions using ELK, Prometheus and Grafana for the infrastructure.

• 

  Visvesvaraya Technological University

  Computer Science