Raghavendra Reddy Pandem

Environment: Amazon EC2, S3, RDS, VPC, ELB, EBS, Auto scaling, UNIX/LINUX, Redhat Linux 6, CentOS, Jenkins, Windows, Apache Tomcat, Shell Scripts, Docker, Nagios, puppet.

• Managed cookbooks in Chef and Implemented environments, roles, and templates in Chef for better environment management.
• Used Shell scripts to day to day activities and tasks for automating.
• Used Jenkins tool to automate the build process.
• Installing and configuring Jenkins master and slave nodes. Built CI/CD pipeline and managing the infrastructure as code using chef and puppet.
• Have experience in cloud platform like AWS.
• Created and implemented chef cookbooks for deployment and also used Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Worked in GIT to manage source code.
• Setup Chef Server, workstation, client and wrote scripts to deploy applications.
• Deployed the applications to Tomcat Application Server and static content to Apache web servers.
• Automated the continuous integration and deployments using Jenkins, Docker.
• Installed, Configured, and Managed Monitoring Tools such as Nagios for Resource Monitoring/Network Monitoring.
• Worked on Docker container to create Docker images for different environments.
• Responsible for taking the source code and compiling using Maven and package it in its distributable format, such as a WAR file.
• Implemented process for release management, automated code deployment, configuration management, and monitoring.

Environment: Amazon EC2, S3, RDS, VPC, ELB, EBS, Auto scaling, UNIX/LINUX, Redhat Linux 6, CentOS, Jenkins, Windows, Apache Tomcat, Shell Scripts, Docker, puppet.

• Reduced operational costs by optimizing cloud resource utilization and implementing cost-effective solutions.
• Worked with systems engineering team to plan and deploy new Hadoop environments and expand existing Hadoop clusters with agile methodology.
• Experienced with through hands-on experience in all Java, SQL and Python.
• Optimized build processes using tools such as Jenkins or Bamboo for fast feedback loops in development cycles.
• Automated manual tasks through scripting languages such as Python or Shell, boosting team productivity levels.
• Participated in functional reviews, test specifications and documentation review.
• Documented the systems processes and procedures for future references, responsible to manage data coming from different sources.
• Improved code deployment efficiency by automating processes with CI/CD pipelines.
• Designed and implemented containerization strategies using Docker and Kubernetes, improving resource utilization and management.
• Maintained version control systems like Git or SVN for seamless collaboration among developers and engineers during project lifecycles.
• Enhanced application performance by optimizing infrastructure configurations based on usage patterns.