SUMMARY

• Over 4+ years of experience in IT industry mainly specialization in Azure/AWS/Cloud/DevOps Engineer experience and Experience inCloud (Azure, AWS, and GCP),DevOps, Configuration management, Infrastructure automation, Continuous Integration and Delivery (CI/CD). I can implement effective strategies for N - Tier application development in bothCloud and On-premisesenvironments.
• Experience in dealing withUnix/Linux and Windowsserver administration.
• Experience with a broad portfolio of AWS infrastructure resources (EBS, S3, EC2, Elastic IP, Redshift, EMR, Route 53, VPC, Security Groups and Network ACLs)
• Expertise in Architecting and ImplementingAzure ServiceOffering, such asAzure cloud services, Azure storage, IIS, Azure Active Directory (AD), Azure Resource Manager (ARM), Azure Storage, Azure, Blob Storage, Azure VMs, SQL Database, Azure Functions, Azure Service Fabric, Azure Monitor, and Azure Service Bus.
• Build and Deployed batch processing Micro services
• Expertise in AzureScalabilityand AzureAvailability- Build VMs availability sets using theAzureportal to provide resiliency forIaaSbased solution andVirtual Machine Scale Sets (VMSS)usingAzure Resource Manager (ARM)e in Design and perform system management, database management, configuration management.
• Familiarity to managenetwork traffic.
• Experience in using version controller tools like Subversion (SVN), GIT, IBM Clear case UCM and PVCS.
• Developed Agile processes using Groovy, J Unit to use continuous integration tools Worked for designing and creating a Micro services delivery platform Initiative.
• Exposed to all aspects of software development life cycle (SDLC) such as Analysis, Planning, Developing, and Testing, and Implementing, Post-production analysis of the projects.
• Created and wrote shell scripts (Bash), Ruby, Python and PowerShell for automating tasks.
• Wrote Python Code using Ansible Python API to Automate Cloud Deployment Process. experience migrating Oracle, SQL Server instances to AWS RDS (Oracle to Oracle migration, Oracle to Postgres migration, Oracle to MySQL)
• Experience with deploying configuration management and CI/CD services such as (Puppet, Ansible, PowerShell, Jenkins, Vagrant, Dockers, JIRA, Cloud Formation, Elastic Beanstalk)
• Strong experience with the following technologies: Linux administration, Linux scripting (python, bash), MySQL, Postgres SQL, Microsoft Windows Server OS, Microsoft SQL, Microsoft Active Directory, Microsoft Remote Desktop Services, Citrix XenApp, VMware virtualization, Backup Software

TECHNICAL SKILLS

Operating System: Linux (RedHat 4/5/6/7, CENTOS & SUSE), UNIX, Ubuntu 12/13/14, Windows NT, Windows 7/8/10, DEBIAN, MacOS.

Cloud Platforms: AWS, Azure, OpenStack.

Automation/Configuration Management Tools: Chef, Puppet, Ansible, Kickstart, Jumpstart

Virtualization Technologies: Windows Hyper-V, VMware ESXi, Virtual Box, vCenter.

Containerization Tools: Kubernetes, Docker, OpenShift

Application/Web Server: Tomcat, Apache, JBoss, Web Logic (8/9/10) & Web Sphere 4.0/5.0.

CI and Build Tools: Jenkins, ANT, Maven, Hudson, Bamboo

Testing and ticketing tools: SonarQube, Selenium, JIRA, ServiceNow, Remedy, ConnectWise

Monitoring and Logging Tools: Nagios, Splunk, Datadog.

Version Control Tools: GIT, GitHub, Subversion, Bit-Bucket, CVS.

Infrastructure As A Code: Terraform, ARM Templates.

Scripting: Python, Shell Scripting, Ruby Scripting, Power Shell, YAML Pearl.

Database Systems: Oracle 10g/9i, SQL Server, MySQL, SQL Server, NoSQL, Mongo DB.

Networking/Protocol: DNS, DHCP, Cisco Routers/Switches, NIS, NFS, WAN, SMTP, LAN, FTP/TFTP, and TCP/IP.

PROFESSIONAL EXPERIENCE

Confidential

DevOps Engineer

Responsibilities:

• Experience in creating the company's DevOps strategy in a mix environment of Linux (RHEL, Ubuntu, CentOS) servers along with creating and implementing a cloud strategy.
• Extensive working experience with different SDLC methodologies such as Agile and Waterfall with an ability to be creative and to take self-initiatives to execute/manage multiple projects in parallel during time critical situations.
• Experience in migrating on-premises data center to AWS cloud using VM Import/Export, AWS Data Migration Services.
• Maintained the user accounts (IAM), Cloud SQL, Cloud DNS, VPC, RDB, Cloud Datastore Cloud Bigtable, SQS and other services in AWS.
• Used Chef for configuration management of hosted Instances within GCP. Configuring and Networking of Virtual Private Cloud (VPC).
• Designed and implementing AWS Cloud Infrastructure by creating templates for AWS platform also used Terraform to deploy the infrastructure necessary to create development, test, and production environments.
• Configured Jenkins as a build engine to build and deploy applications to DEV, QA, UAT and PROD environments.
• Configured in setting up CICD pipeline integrating various tool with Jenkins to build and run Terraform script templates.
• Experienced managing release planning and branching strategy of GIT servers and worked on creating repositories in GIT Stash for multiple applications configured GIT repositories in CI setup in Jenkins and Injected Groovy scripts in Jenkins for dashboard and customized email triggers.
• Set-up databases using RDS, storage using S3 bucket and configuring instance backups to S3 bucket.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, Stack Monitoring using Ansible Playbooks and integrated Ansible with Jenkins also provisioned and patched servers using Ansible.
• Experienced on Docker and Ansible to build automation pipeline and Continuous Deployment for code using Jenkins and wrote Ansible Playbooks to automate Ansible Servers using YAML scripting.
• Experience working with the OpenShift RedHat Enterprise which allows developers to quickly develop, host and scale applications in a self-manage cloud environment.
• Build servers using AWS, importing volumes, launching EC2, RDS, creating security groups, auto-scaling, load balancers (ELBs) in the defined virtual private connection.
• Chef, Puppet, Jenkins continuous development, Power shell, PHP, Python, C#, Java, JavaScript, and Unix/Linux scripting.
• Maintain and deploy builds in UAT and Production environment.
• Extensively Worked on Docker service rolling updates to implement zero downtime PROD deployments and worked with Docker Trusted Registry as repository for our Docker images and worked with Docker swarm.
• Experience working withchef Enterprise andChef Opensource, Chef DK, Chef Workstation chef server and client working with the configuration/Deployment tools like chef (Knife, recipe, cookbook).
• Integrated Splunk Enterprise with Dynatrace to monitor the performance of the application, managing Splunk Forwarder on centralized deployment server.
• Developed backup and recovery engine for VM backup/recovery using VMware vSphere APIs.

Confidential

Build Release Engineer/Devops Engineer

Responsibilities:

• Use agile methodology throughout the project. Involved in weekly and daily bases release management.
• Involved in source control management with GitHub and GitLab Enterprise level repositories. Regular activities include configure user’s access levels, monitor logs, identifying merge conflicts and managing master repository.
• Deploy and monitor scalable infrastructure on Amazon web services (AWS) & configuration management.
• Involved in performing application deployment toAWSElasticBeanStack environment.
• Configured & deployed Java applications on Amazon Web Services (AWS) for a multitude of applications utilizing theAWSstack, cloud formation.
• Created environment on AWS platform, AWS Hadoop EMR cluster, Kafka Cluster, Cassandra Clusters and implemented system alerts onDataDog.
• Used the command line interface to manage apps, services in PivotalCloudFoundryas well as Apps manager.
• Create, bind the user defined and built in services in PivotalCloudFoundry(PCF).
• Build, Test and deploy applications by using pivotalcloudfoundry
• Working knowledge of several types of configuration management tools like Puppet, Chef, Ansible, Salt and Vagrant.
• Worked on setting up Upstream and Downstream Jobs in JENKINS.
• Worked on Multi project jobs in JENKINS and used pipeline plugin to manage them.
• Implemented automated application deployment and written deployment scripts and automation scripts.
• Created and updated PUPPET manifests and modules, files, and packages stored in the GIT repository.
• Implemented a continuous Delivery Pipeline with Docker, JENKINS and GitHub to build a new Docker container automatically using JENKINS whenever a new GitHub branches are created
• Worked on Oracle Databases there by connecting different environments to these databases in lower and production environments