Satya P

About Satya P

Over 7+ years of experience in Information Technology industry in various roles with excellent knowledge in Amazon Web Services(AWS)/DevOps, Continuous Integration(CI), Configuration, Build & Release management, Continuous Deployment(CD), Cloud Implementations and Linux/Unix administration.• Experienced in all phases of the software development life-cycle (SDLC) with a specific focus on the build and release of the quality software. Experienced in Waterfall, Agile/Scrum, Kanban and most recently CI and CD practices.• Expertise in Amazon Cloud Services and its features like Elastic Compute Cloud(EC2), Virtual Private Cloud(VPC), Elastic Block Storage(EBS), Amazon Machine Image(AMI), Snapshots, Auto scaling, Cloud Formation, Lambda, Simple Email Service(SES), Simple Queue Service(SQS), Simple Notification Service(SNS), Relational Database Service(RDS), Elastic Load Balancer(ELB), Cloud Watch, Simple Storage Service(S3) etc. Expertise in the Cloud migration of traditional IT environments to virtual with AWS elastic compute cloud (EC2) and other AWS Cloud services.• Used a POC to deploy and test security controls for AWS Monitoring including ensuring CloudTrail is functioning and secured in all regions and integrated with CloudWatch. Also alarming on unauthorized API calls, management Console sign-in without MFA, usage of \"root\" account, and IAM policy change.• Deployment to Amazon Web Services(AWS) with Chef, Ansible and Terraform towards AWS or Google Compute cloud, and using Terraform for building, updating, and versioning infrastructure safely and efficiently.• Administer and provision infrastructure in AWS environment using automated scripts (e.g. CloudFormation, Ruby, Python, AWS SDK and Ansible).• Experience in using version control tools like Subversion (SVN), GIT and has a thorough knowledge in Branching, merg-ing, integrations and versioning. Familiar with Build automation tools like ANT & Maven. • Experience in Installation, configuration, tuning, security, backup, recovery, and Operating System upgrade on Red Hat Linux (RHEL 5.0/6.0), Unix, Centos and Ubuntu.• Experience of Perl, Python, Ruby, bash, Shell and PowerShell Scripting.• Expertise in Build and deploy applications and other artifacts from code to various environments using existing infra-structure (using tools like Jenkins, CodeBuild, Packer, etc.)

Experience

1. Aws Cloud Devops Engineer

   Anthem, Inc

   Jan 2019 — Present

   Worked on AWS cloud services like EC2, S3, VPC, IAM, RDS, ELB and EBS for installing, configuring and troubleshooting for server migration from physical to Amazon cloud.• Utilized Cloud Watch to monitor resources such as EC2, CPU memory, Amazon RDS DB services, Dynamo DB tables, EBS volumes; to set alarms for notification or automated actions; and to monitor logs for a better understanding and operation of the system. Integrated AWS CLI with Ansible to provision and manage AWS infrastructure.• Used AWS Beanstalk for deploying and scaling web applications and services developed with java, PHP, NodeJS, python, Ruby and docker on server such as Apache. Infrastructure automation tools (AWS cloud formation, EBS).• Configure & deploy AWS Lambda service to run codes in response to events and automatically manage resources.• Enabled AWS Cloud Watch to monitor major metrics like Network Packets, CPU utilization and load balancer.• Designed and implemented a data processing web service using Node.js to aggregate and calculate the uptime of thousands of servers from various data sources to Elastic search, displaying data in Kibana.• Used GIT Hub repository to run Jenkins job for Continuous Integration.• Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform. Managed AWS infrastructure as code using Terraform.• Used Terraform scripts to automate instances for EC2 instances that were launched manually before.• Increased efficiency by writing and reusing Terraform modules to create a full custom cloud infrastructure in minutes.• Managed app deployments into Kubernetes clusters across different environments like Dev, Test, Staging & Production. • Container-based deployments using Docker, working with Docker images, Docker Hub, Docker registries & Kubernetes.• Used Kubernetes for scaling the micro services deployment, created using Docker containers.

Education

• JNTUH College of Engineering Hyderabad

  Bachelor's degree