Naresh Damu

• Created AWS ECS cluster to deploy Android and IOS Mobile applications
• Automated build and deployment processes using GitHub actions
• Implemented branching strategy to resolve code merge issues
• Supported GitHub migration from AWS CodeCommit
• Resolved environmental issues and successfully deployed applications
• Worked closely with developers to troubleshoot and resolve technical issues
• Integrated security best practices into CI/CD pipelines using CodeQL
• Supported Dynatrace integration for monitoring mobile applications
• Created Docker file to build and run the application
• Externalized and maintained environment properties files across the environments
• Security findings using Burp and Insomnia tools
• POC to implement AWS CodePipeline
• Managed weekly production releases
• 24/7 on-call support on a weekly basis

Special Tools and Languages: AWS, GitHub, Shell, Python, MVN, Dynatrace, Burp Suite, Jira, GitLab, Docker, Oracle, CodeCommit

• Migration of projects from on-premises to cloud using various business tools and AWS services
• Worked on migrating Internal on premises application to AWS cloud from C2C environment
• Prepared lift and shift approach for migrating Angular built application to Cloud
• Prepared a migration plan for MongoDB upgrade to AWS document DB
• Used terraform to setup the infrastructure and adhered to the IAC protocols of having this code in the repository to avoid any differences
• Administrated Archer application for service requests
• Integrated SonarQube into the pipeline for code quality and analysis
• Worked on creating security policies in Microsoft cloud app security
• Written Python Scripts to call RSA Archer API’s to pull the data
• Worked on various Vendor Security domains such as RSA ARCHER, CASB, RISKRECON
• Worked on Automating RISKRECON alerts to create service requests
• Coordinated with team to onboard SAAS applications
• Worked in the best practices of Agile methodology to speed up the delivery process efficiently
• Developing Cloud formation templates to launch VPC’s and instances in the AWS cloud
• Build Docker images, published artifacts to AWS cloud platform using Jenkins file
• Leveraged various AWS solutions like EC2, S3, IAM, EBS, Elastic Load Balancer (ELB), Security Group, Auto Scaling and RDS in cloud Formation JSON templates
• Defined AWS Lambda functions for making changes to Amazon S3 buckets and updating Amazon DynamoDB table
• Created snapshots and Amazon machine images (AMI) of the instances for backup and created Identity Access Management (IAM) policies for delegated administration within AWS
• Creating Python scripts to fully automate AWS services which includes ELB, Cloud Front Distribution, EC2, Security Groups and S3
• Worked on design of the clinical data lake that is created in AWS S3 which has various zones which helps for storing data which is used by analytical tools
• Worked on Auto Scaling, Cloud watch(monitoring)

Special tools and Languages: AWS, Archer, RiskRecon, Kubernetes, Jenkins, Python, SonarQube, MongoDB

• Coordinating with Different Teams such as Development, Network, Software and QA Engineers and to continuously improve the efficiency and reliability of Build and Deployment processes to support all phases of development and production releases
• Responsible for creating Jenkins pipelines for Nodejs, Maven and Springboot applications
• Setting up and maintaining Domain Names System (DNS) services
• Created Jenkins Util jobs to bulk deploy services
• Created Jenkins jobs jobs to generate ansible templates
• Creating ansible playbooks for microservices
• Containerizing microservices using docker swarm
• Performed Cadence deployments on daily basis
• Part of DevOps team participated in tools migration from one environment to another
• Written ansible playbooks to spin up EC2 instances
• Written ansible scripts to do install docker on multiple instances
• AWS automation through docker and ansible environment
• Troubleshooting for failing microservices
• Conducting detailed research on Docker Swarm for container orchestration
• Implementing a Continuous Delivery pipeline with Docker, Jenkins and GitHub and AWS AMI's
• Written Ansible playbooks to deploy services in remote servers
• Written Ansible playbooks to install Dynatrace one agents in multiple environments
• Created Couchbase indexes across all the environments
• Executed Couchbase queries
• Integrated Docker container-based test infrastructure to Jenkins CI test flow and set up build environment integrating with Git and Jira to trigger builds using Slave Machines
• Developing builds and deployment script using Ruby (Ansible Playbook) and shell scripting
• Managed build results in Jenkins and deployed using workflows

Special Tools and Languages: AWS, Centos, Rhel, Jenkins, Bitbucket, Nginx, Artifactory, Maven, Kubernetes, Microservices ,Groovy, Docker, Python, Ansible, JAVA, Shell scripts, Ansible tower, Dynatrace, Couchbase

• Installed required software on build servers to maintain efficient infrastructure
• Maintained and administered GIT/Bitbucket Subversion source code tool
• Implemented & maintained the branching and build/release strategies utilizing BITBUCKET
• Tested Splunk search strings & operational strings and used it as resource monitoring tool
• Managed build results in Jenkins and deployed using workflows
• Worked on Jenkins to deploy code in Staging and Production environments
• Managing configuration using Chef in the production and Created Chef Recipes and Cookbooks in development environment
• Experience in working with AKAMAI technologies
• Helped team installing AEM tools
• Worked with Atlassian tools like Bamboo, Jira, Confluence, Bitbucket
• Part of a team of CI engineers that design, develop and support the CI system for a large software development group using Agile development methodologies
• Used Maven as build tool on Java projects for the development of build artifacts on the source code
• Extensive experience in JIRA for creating bugs tickets, storyboarding, pulling reports from dashboard, creating and planning sprints
• Implemented best practices of Agile methodology to speed up the delivery process efficiently

Special Tools and Languages: Bitbucket, Oracle, Jenkins, Java/J2EE, Ruby, ANT, MAVEN, Web Logic, Perl Scripts, Shell Scripts, Perforce, XML, UNIX, JIRA, Chef, Splunk

• Managed installations, upgrades, and DST fixes for WebSphere App servers
• Configured JDBC providers, data sources and connection pools
• Worked on LDAP and LTPA configurations
• Responsible for cert upgrades
• Support WebSphere servers patching activities
• Deployed WebSphere applications
• Supported BPM deployments

Special Tools and Languages: Tortoise, WebSphere, Oracle, Jenkins, Java/J2EE, Ruby, ANT, MAVEN, Web Logic, Perl Scripts, Shell Scripts, XML, JIRA