Sukanya Sangeetham

Around 6.6 years of IT experience as DevOps Engineer, following Agile methodology and Software Development Life Cycle (SDLC) which include monitoring, configuration, troubleshooting and maintenance in AWS cloud environment. Expert in AWS (Amazon Web Services) services such as EC2, S3, RDS, VPC, Route 53, Elastic Load Balancers, ELBs, and IAM for security and used EBS in storing persistent data to mitigate the failure. Extensively worked on routing the data through AWS network infrastructure for cost effective, availability and fault tolerant applications with AWS ELB, Auto scaling, CDN, Route 53, VPC Peering. Also used EBS in storing persistent data to mitigate the failure. Extensive experience with application containerization using Docker. Expertise in implementing DevOps strategy in different environments of Linux servers along with Amazon Web Services (AWS). Extensively worked on GIT branching, merging, stashing the commits, to reuse for a strategical build/release and also implemented reset before commit and reverting the commit before pushing to the central repository if necessary. Worked on Jenkins by creating and scheduling jobs and Builds and deployments using the same. Worked on source control toolGIT to track code, revert, streamline development process on source controller concepts like Branches, Merges and Tags. Designed and implemented CI system: configuring Jenkins servers, Jenkins nodes, created required scripts Python to deploy different applications, implemented code coverage, unit test plug-ins with Maven in Jenkins. Experience in writing Shell Scripting to automate different workflows in Jenkins pipeline to minimize effort for routine tasks. Installed, Configured, Managed Monitoring Tool Nagios for Resource Monitoring/Network Monitoring/Log Trace Monitoring. Launched EC2 ,RDS instances and S3 buckets by using terraform scripts.