Enikepalli R.

● Software Development Professional with 7 Years of Experience, 3+ years in Aws Devops and 3+ years in Python scripting and Development. ● certified as AWS Solution Architect Validation number: LKY43L32QEFE1Y5G Validate at : https://aws.amazon.com/verification ● Skilled AWS DevOps engineer with around 3+ years of hands-on experience supporting automating and optimizing mission critical deployments in AWS, leveraging configuration management, and CI/CD DevOps process. ● Create and maintain fully automated CI/CD pipeline for code deployment and Automated build and using Jenkins to reduce human error and speed up processes. ● Worked on version control systems like GIT and used Source code management client tools like SVN, GIT Bash, GitHub, GIT GUI and other command line applications. ● Experience and a good understanding of source control management(SCM) concepts such as Branching, Merging, Labelling/Tagging and Integration Maintaining and tagging the version across the environments using SCM tools like GitHub on Linux and windows platforms. ● Written Kubernetes helm charts from scratch to migrate monolithic applications to containerize applications. Used Nexus to improve build stability due to reduced reliance on external repositories. ● Experienced DevOps Practice for Micro Services Architecture using Kubernetes orchestration. ● Skilled in various Bug tracking tools like JIRA , Remedy and ServiceNow. ● Experience on installation, configuration, and maintenance Red hat, CentOS and Ubuntu at multiple Data Centers. ● Experience in real-time monitoring and alerting of applications deployed in AWS using Cloud Watch, Cloud Trail and Simple Notification Service(SNS) to maximize resource allocations. ● Proficient in Datadog for real-time visibility into system performance and application health, with experience in setting up Implemented Datadog for real-time monitoring and alerting of applications deployed in AWS to maximize resource allocations. ● Experiences on setting up databases in AWS using RDS, storage using S3 bucket and configuring instance backups to S3 bucket. ● Experiences in Configured AWS Identity and Access Management (IAM) Groups and Users for improved login authentication. ● Ability to build deployment, build scripts and automated solutions using various scripting languages such as Shell, Power Shell, Python,YAML. ● Improved continuous integration workflow, project testing, and deployments with Jenkins. Implemented code coverage and unit test plug-ins with Maven in Jenkins. ● Skilled Python Developer with around 3.4 years of hands-on experience supporting Creating and Customizing Python Packages and Python Automation Scripting using DATA SCIENCE libs (PANDA, Numpy) and feed from source system to CTU tool and integrated with DB . ● Used lot of Data frames And pandas to modify and handle data optimization for debug (ANACONDA/python debugger) and Development Purpose. ● Executing successful Software modules using technologies like C, C++, Python, Shell Scripting, Linux internals Data Structures & Accurev, GIT, Svn, etc. ● Ability to build deployment, build scripts and automated solutions using shell scripting and Python.