SUMMARY

• Successful Cloud Engineer with around 7+ years of professional Experience dedicated to automation and optimization. Understands and manages the space between operations and development to quickly deliver code to customers. Has experience with the Cloud, as well as DevOps automation development. Seeking for a position in Cloud to contribute my technical knowledge.
• Proficient in AWS Cloud platform and its features which includes EC2, VPC, EBS, AMI, RDS, EBS, Lambda, Cloud Watch, Cloud Trail, Cloud Formation, Autoscaling, CloudFront, IAM, S3 & R53.
• Worked in deployments with immutable infrastructure built and tested using CI/CD. Implemented Amazon EC2 setting up instances, virtual private cloud (VPCs) and security groups. .
• Hands on experience with AWSsolutions using CloudFormation Templates and launch configurations to automate repeatable provisioning of AWS resources for applications.
• Used Amazon ECS as a container management service to run microservices on a managed cluster of EC2 instances. Implemented Amazon API Gateway to manage, as an entry point for all the API's.
• Knowledge on SaaS, PaaS and IaaS concepts of cloud computing architecture and Implementation using AWS, OpenStack, OpenShift, Pivotal Cloud Foundry (PCF) and Azure.
• Expertise in designing the Google Cloud architecture by following the financial regulations from security point of view. Expertise in several GCP service focusing on Security, Kubernetes and Biq Query.
• Expertise in deep development/enhancement of OpenStack components such as Nova, neutron, designate, Cinder, Swift, Image, Horizon & Identity, and Ceilometer.
• Managed Google BigQuery instance for the data warehouse, using Google Data Prep and Google storage as the staging platform. Deployed the application using Google App Engine.
• Responsible for building scalable distributed data solutions in both batch and streaming mode on Google BigQuery using Kafka, Spark and Core Java.
• Converted existing Terraform modules that had version conflicts to utilize CloudFormation templates during deployments, worked with Terraform to create stacks in AWS, and updated the Terraform scripts based on the requirement on regular basis.
• Expertise in integrating Terraform with Ansible, Packer to create and Version the AWS Infrastructure, designing, automating, implementing and sustainment of Amazon machine images (AMI) across the AWS Cloud environment.
• Experience with setting up Chef Infrastructure, bootstrapping nodes, creating, and uploading recipes, node convergence in Chef SCM.
• Experience in using Chef for server provisioning and infrastructure automation, release automation and deployment automation, Configure files, commands, and packages.
• Experience in working withAnsiblePlaybooks to automate various deployment tasks and working knowledge onAnsibleRoles, Ansible inventory files andAnsibleGalaxy.
• Experienced in working on Docker hub and Docker swarm, Docker compose creating Docker images and handling multiple images primarily for middleware installations and domain configuration.
• Experience in working with Jenkins in a Docker container with EC2 slaves in Amazon AWScloud environment and also familiar with surrounding technologies such as Mesos (Mesosphere) and Kubernetes.
• Experienced in Using Jenkins pipelines to drive all Microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Experience in Branching, Merging, Tagging and Maintaining the version control and source code management tools like GIT, SVN and Bitbucket on Linux and windows platforms.
• Expertness in using Build Automation tools and Continuous Integration concepts by using tools like Gradle, ANT, Jenkins, Team city, Quick Build, Build forge and Maven.
• Architected Jenkins build pipelines in various Linux environments like RHEL, Centos and Windows to build and deploy Java applications.
• Proficient with Shell, Python, Ruby, Perl, Power Shell, JSON, YAML, Groovy, PowerShell scripting languages.
• Experienced with all the OpenStack components like keystone, swift, nova, cinder, glance etc.
• Experience in using web servers like Apache HTTP and Tomcat, Nginx, IIS and application servers like IBM WebSphere, Oracle WebLogic and JBOSS for deployment.
• Hands on experience on working with System health and performance Monitoring Tools like Nagios, Splunk, CloudWatch, New Relic, App Dynamics.
• Experience in working with SQL database like MySQL, Oracle, SQL Server and NoSQL databases like MongoDB, DynamoDB and Cassandra.

TECHNICAL SKILLS

Cloud Platforms: AWS, Azure, OpenStack, GCP

Configuration Management Tools: Ansible, Chef, Puppet

CI /CD Tools: Jenkins, Bamboo

Build Tools: Maven, ANT

Containerization Tools: Docker, Docker Swarm, Kubernetes, Mesos, OpenShift, Aws ECS.

Version Control Tools: GIT, GITHUB, Bitbucket, SVN

Logging & Monitoring Tools: Nagios, Splunk, ELK, CloudWatch, Azure Monitor, Prometheus, New Relic

Scripting & Programming Languages: Shell Scripting, RUBY, C, C++, XML, PL/SQL, Java/J2EE, HTML, PERL, POWERSHELL, Python, Java/J2EE, .Net

Databases: My SQL, MS SQL, Oracle, Dynamo DB, Cassandra, Mongo DB 7 SQL Server

Application/Web Servers: Web logic, Web sphere, Apache Tomcat, Nginx, Oracle application server

Operating Systems: UNIX, Linux, Windows, Solaris, CentOS, UBUNTU and RHEL.

Virtualization Platforms: Oracle VirtualBox, VMware Workstation, Vagrant, VMware vSphere ESXi 5.x/4.X, ESX /3.x, Hyper - V

Bug Tracking Tools: JIRA, Bugzilla, Remedy, HP Quality Center, IBM Clear Quest, Mingle

Repositories: Antifactory, Nexus

Web Technologies: HTML, CSS, Java Script, jQuery, Bootstrap, XML, JSON, XSD, XSL, XPATH.

PROFESSIONAL EXPERIENCE

Confidential, Oak Brook, IL

AWS / DevOps Developer

Responsibilities:

• Performed the automation deployments using AWS by creating the IAMs and used the code pipeline plugin to integrate Jenkins with AWS and created the EC2 instances to provide the virtual servers.
• Write Lambda functions in python for AWS Lambda and invoked python scripts for data transformations and analytics on large data sets in EMR clusters and AWS Kinesis data streams.
• Used Ansible Tower, which provides an easy-to-use dashboard and role based access control, so that its easier to allow individual teams access to use Ansible for their deployments.
• Write Python scripts to totally automate AWS services which includes web servers, ELB, CloudFront distribution, database, EC2 and database security groups and application configuration, this script creates stacks, single servers, or joins web servers to stacks.
• Used Jenkins pipelines to drive all micro services builds out to the Docker registry and then deployed to kubernetes, created Pods and managed using kubernetes
• Building/Maintaining Docker container clusters managed by Kubernetes Linux, Bash, GIT, Docker .Utilized Kubernetes and Docker for the runtime environment of the CI/CD system to build, test deploy.
• Involved in development of test environment on Docker containers and configuring the Docker containers using Kubernetes.
• Experience writing data APIs and multi-server applications to meet product needs using Golang
• Wrote microservices using Golang
• Build AWS environment and developed infrastructure and maintaining Ansible playbooks for production rollout.
• Automated Java Builds with Maven and implemented multiple plugins for Code analysis, Junit, Code coverage, PMD, SonarQube, etc. Installed and administered Artifactory repository to deploy the artifacts generated by Maven.
• Hands on experience with AWS Atlas Cloud and GAIA
• Monitor and tune performance of MongoDB. Experience with MongoDB scaling across data centers.
• Upgraded various CI/CD tools like Jenkins/JIRA using SDLC process and supported upgrading the software patches and worked with the vendor for any issues to completion.
• Good knowledge with MongoDB tool like Atlas. Cloud manager, deployment on Docker container services AWS Elastic Container servie deployment of MongoDB, build MongoDB apllication for microservices.
• Installing Ansible Tower and using it to manage systems.
• Set up Jenkins server and build jobs to provide continuous automated builds based on polling the GIT SCM during the day and periodically scheduled builds overnight to support development.
• Created and maintained the Python deployment scripts for Tomcat web application servers.

Environment: Linux, Bash, PowerShell, Python, AWS, ELK, Terraform, Ansible, Redshift, Docker, Jenkins, Git, Jira, Kubernetes, Maven, Nagios, SonarQube, Graph QL, DynamoDB, Postgres, MongoDB, Cassandra, WebSphere 8.x, WebLogic 10.x/12.x, Tomcat 8.5.x, Nginx.

Confidential, Austin, TX

DevOps / AWS Developer

Responsibilities:

• Created confidence and certainty in deployments with immutable infrastructure built and tested using CI/CD.
• Worked on Terraform for deploying AWS infrastructure like VPCs, ELBs, security groups, AWS Glue, SQS queues, S3 buckets, and continuing to replace the rest of the infrastructure.
• Scripting (BASH, Python, etc.) and building required automation (using standard technologies such as Ansible) and tools.
• Participating on fast-paced DevOps and SysOps Engineering teams within Scrum agile processes.
• Worked directly with architects and developers to create supportable designs and debug problems.
• Used Amazon S3 to backup EBS volumes periodically to save snapshots of data.
• Hosted static websites in S3 as secondary site and route customers to a custom error page if the primary webserver is down. Used S3 Firefox plugin to upload information to S3 and used CloudFront as a content delivery network to speed up sites and media delivery.
• Creating S3 buckets and restricting access to buckets and objects to specific IAM users.
• Automating backups by shell in Linux and PowerShell scripts in windows to transfer data in S3 bucket.
• Performed the automation deployments using AWS by creating the IAM and used the code pipeline plugin to integrate Jenkins with AWS and created the EC2 instances to provide the virtual servers.
• Set up Jenkins server and build jobs to provide continuous automated builds based on polling the GIT SCM during the day and periodically scheduled builds overnight to support development.
• Worked on deployment automation of all the microservices to pull image from the private docker registry and to docker swarm cluster using Ansible
• Setup and build AWS infrastructure using resources VPC, EC2, S3, RDS, DynamoDB, IAM, EBS, Route53, SNS, SES, SQS, Cloud Watch, Cloud Trail, Security Group, Autoscaling, and RDS using CloudFormation templates.
• Performed the automation deployments using AWS by creating the IAMs and used the code pipeline plugin to integrate Jenkins with AWS and created the EC2 instances to provide the virtual servers.
• Experience Migrating servers, applications from local datacenter on VMWare to AWS.
• Changing the AWS infrastructure Elastic Beanstalk to Docker with kubernetes.
• Created monitors, alarms and notifications for EC2 Hosts using Cloud watch
• Write Lambda functions in python for AWS Lambda and invoked python scripts for data transformations and analytics on large data sets in EMR clusters and AWS Kinesis data streams.

Environment: Amazon Web Services (AWS), Terraform, Container Orchestration - ECS, Docker; Configuration Management tools - Ansible; Infrastructure as Code (IaC) - Terraform, CloudFormation; SQL, GitHub, Graph QL, Bash/Shell scripting.

Confidential

AWS DevOps

Responsibilities:

• Configured, deployed highly available (HA) and scalable applications on AWS using EC2, RDS, S3, Elastic Load Balancer (ELB), Auto-scaling and monitored these applications with CloudWatch and SNS services.
• Managed system administration tasks of maintaining users, filesystems, networking, package management on local machines and AWS.
• Provisioned and configured virtual machines using VirtualBox and Vagrant.
• Maintained Git repositories for DevOps environment: Version control and built automation integrating git into Jenkins.
• Worked closely with clients to establish problem specifications and system designs.
• Documented progress of project, resources using Microsoft Project management tool.
• Implemented RESTful web services using Jersey, Spring Frameworks, JSON and Java 8.
• Implemented all the shared services application as Spring Boot Deployable JARs.
• Added security to the application using Spring security and SAML authentication mechanism.
• Initiated the applications with Spring Boot.
• Developed and executed JUnits for the REST services using Spring’s JUnit facilities..
• Maintained existing applications and designed and delivered new applications.
• Debugged network connectivity issues on workstations in computer labs.
• Works with several technologies such as JSP, Servlets and JDBC, HTML, Spring boot, Hibernate
• Used SSH techniques and bash scripts to install packages on nodes.
• Managed GitHub repositories and permissions, including branching and tagging.
• Created VPC Peering between multiple VPC into various AWS accounts.
• Took snapshots of existing volumes and create AMI from running servers and restore it in case of emergency.
• Creating Docker images from Centos Linux as per requirement of the product/service and storing those Docker images to the ECR or Nexus Repository.

Environment: AWS (EC2, EBS, S3, VPC, Code Deploy, Route 53 (DNS), ECS, CloudFormation, RDS, DynamoDB, Load Balancers, CloudWatch, SNS, SES, SQS, IAM, RedShift), Maven, Puppet, Ansible, Docker, Kubernetes, Jenkins, GIT.