SUMMARY

• Overall, 8 years of comprehensive experience in the 5 years of DevOps, AWS Cloud, CI/CD pipeline, Configuration Management 3years system Administrator.
• Hands - on Experience Administrating Microsoft Azure Services like Azure App Services, Azure SQL Database, Azure AD, Azure Blob storage, Azure Data Factory, Azure Databricks, Azure Functions, Virtual machines, Azure Fabric controller, Azure Data Factory, Azure web applications, Azure Service Bus, and Notification hub.
• Experience in designing Azure Resource Manager (ARM) Template to deploy multiple resources as well as in designing custom build steps using Power Shell and Developed PowerShell scripts and ARM templates to automate the provisioning and deployment process.
• Seasoned in Configuring AzureAutomation Desired State Configuration (DSC) configuration management to assign permissions through Role-Based Access Control (RBAC), assign nodes to proper automation accounts and DSCconfigurations, to get alerted on any changes made to nodes and their configuration.
• Expertise in Designing and implementing Continuous Integration (CI) throughout many environments utilizing Azure DevOps tools to provide an agile development process that is automated and repeatable, allowing teams to safely deploy code several times per day while ensuring Azure Kubernetes Services (AKS) are supported.
• Well versed in using Azure Infrastructure as a Service (IaaS), Provisioning VMs, Virtual Networks, Deploying Web Apps, Microsoft SQL Server, using ARM Templates, and Azure DevOps CI/CD pipelines.
• Expertise in configuring the Monitoring and Alerting tools according to the requirement like Prometheus and Grafana, setting up alerts, and deploying multiple dashboards for individual applications in Kubernetes.
• Excellent reputation for resolving production issues very quickly with an analytical bent of mind.
• Excellent communication skills with extensive experience in organizing meetings and gathering project requirements from multiple teams in large multi-functional organizations.
• Always motivated to learn something new. Reading the state-of-the-art research papers & keeping up to date with works of Deep Learning researchers on LinkedIn, Twitter, Medium, and other professional networking sites.
• AWS (EC2, S3, VPC, Subnets, Peering, ECR, EKS, CloudWatch, CloudTrial, Elastic BeanStalk,Load Balanncers and Route53)
• Built S3 buckets and managed its policies using IAM and used glacier along with S3 for storage and backup on AWS cloud environment.
• Designed, Configured, and launched AWS EC2 instances incloudenvironment and setup S3 buckets and Relational Database Services (RDS) to handle data, load balancer and auto scaling, Target groups and createdCloudFormation Templates (CFT) in AWS to automate the infrastructure launching.
• Good exposure in managing various UNIX servers in heterogeneous clustered environments.
• Excellent troubleshooting and time management skills, ability to work independently while coordinating efforts with engineers, vendors, and customer support resources.
• Strong analytical skills coupled with a structured approach to problem-solving and demonstrated ability to deal with high-pressure situations.
• Recognized as a savvy leader with strengths in managing, directing, and coordinating geographically distributed teams, In Addition, knowledge of Shell Scripting and utilized it for automation.
• Completed certification in HP-UNIX, IBM AIX, and ITIL Foundation. His additional responsibilities were RCA manager, Document Manager, Shift Manager, and SLA Measurement.
• Excellent communication & interpersonal skills and a strong commitment to the profession, team building skills with proficiency at grasping new technical concepts quickly and productively utilizing the same.

TECHNICAL SKILLS

AWS Services: RDS, EC2, VPC, IAM, Cloud Formation, EBS, S3, ELB, Auto Scaling, Cloud Trial, SQS, SNS, SWF, Cloud Watch.

Cloud Platforms: Microsoft Azure, Aws Cloud.

Azure Services: App Services, Key vault, function app, Blob storage, Azure Active Directory (Azure AD), Service Bus, Azure Data Factory, Databricks, Azure Container Registry (ACR) and Azure Kubernetes service (AKS), Azure SQL, Azure Cosmos DB.

Version Control Tools: GIT, Bitbucket

CI/CD: Jenkins, Azure Pipelines

Configuration & Automation Tools: Anisble

Container Platforms: Docker, Kubernetes, OpenShift.

Monitoring Tools: Nagios, Splunk

Languages: Python, Shell scripting.

Artifactory: Jfrog and Nexus

Web Servers: Nginx

Documentation: Confluence

Operating Systems: Microsoft Windows XP/ 2000, Linux, UNIX.

Tracking Tools: Jira

Code Scanning: Sonar Qube, Jfrog X ray, ECR Inspector

Databases: RDS, CosmosDB, My SQL DB.

Logging: CloudWatch, CloudTrail, Azure App Insights, Azure Monitor

PROFESSIONAL EXPERIENCE

Confidential, Sterling Virginia

DevOps/Azure Engineer

Responsibilities:

• Worked Extensively on Configuring and Provisioning of Virtual Machines, Storage accounts, App Services, Virtual Networks, Azure SQL Database, Azure Search, Azure Data Lake, Azure Data Factory, Azure Blob Storage, Azure Service Bus, Function Apps, Application Insights, Express Route.
• Have Worked on Setting up Azure Monitor Dashboard for various Azure Services by enabling Diagnostic settings and writing queries in Log Analytics Workspace to send the logs to Azure storage accounts and stream the logs to Azure Event Hubs.
• Created and configured HTTP Triggers in theAzureFunctions with Application Insights for monitoring and performing load testing on the applications using the VSTS and used Python API for uploading all the agent logs into Azure blob storage.
• Data was transferred from On-Premises SQL Database servers to Azure SQL Database servers via Azure Data Factory Pipelines created with the Azure Data Factory copy tool and Self-Hosted Runtimes.
• Created and maintained Continuous Integration (CI) using tools Azure DevOps (VSTS) over multiple environments to facilitate an agile development process that is automated and repeatable, enabling teams to safely deploy code in Azure Kubernetes Services (AKS) using VSTS by YAML scripting.
• Worked on Integrating Azure-DevOps Boards with Microsoft Teams and Pipelines for Notifying Sprint Boards and Teams respectively.
• Well versed in using Terraform templates for provisioning Virtual Networks, Subnets, VM Scale sets, load balancers, and NAT rules. Configured BGP Routes between on-premises data centers and Azure cloud to enable ExpressRoute connections.
• Performed Azure Scalability configuration that sets up a group of Virtual Machines (VMs) and configures Azure Availability and Azure Scalability to provide High Application Availability and can automatically increase or decrease in response to demand.
• UsedAzureKubernetes Service (AKS) to deploy a managed Kubernetes cluster inAzureand created an AKS cluster in theAzureportal using template-driven deployment options such as Azure Resource Manager (ARM) templates and terraform.
• Used Azure Kubernetes Service (AKS) for Implementing Jenkins pipelines into Azure pipelines to drive all micro services builds out to the Docker registry and then deployed to Kubernetes, Created Pods, and managed them.
• Maintained Bitbucket Repositories, including Jenkins for integration, building new repositories, enabling GIT to ignore, branching, merging, creating pull requests, and Bitbucket and JIRA access control schemes.
• Involved in integrating Azure Log Analytics with Azure VMs for Monitoring, Storing, tracking Metrics, resolving and investigating Root cause issues.
• PowerShell runbooks were written and deployed to Automation Accounts using CICD Azure DevOps. PowerShell scripts were also written to make API calls to Azure DevOps and find Users who had not accessed Azure DevOps in more than 90 days.

Environment: Azure, ADF, Azure Databricks, Terraform, Kubernetes, Ansible, Open shift, Shell, Python, Linux, Jira, Bitbucket, My SQL, Jenkins, Apache Tomcat 7. x, Azure-DevOps, Docker, NoSQL, ARM, Cosmos DB, Virtualization, Kubernetes, Nagios, Splunk, App Dynamics Nginx, LDAP, JDK1.7, XML, SVN, Git, Windows, Mav

Confidential, Leesburg, VA

AWS DevOps

Responsibilities:

• Working on AWS Elastic load balancing for deploying applications in high availability and experience in working on cloud EC2, S3, RDS, Load Balancer, Auto Scaling with AWS command-line interface.
• Using AWS for creating new instances, checking security group settings, adding elastic IPs for servers and deleting the elastic IPs for the servers needed, applying the inbound IP addresses as needed.
• Created Users, Groups, Roles, Policies, and Identity providers in AWS using Identity Access Management for improvement in login authentication.
• Designed AWS Cloud Formation templates to create customized VPC, subnets, and NAT to ensure successful deployment of Web applications and database templates.
• Created functions and assigned roles inAWS Lambdato run python scripts, andAWS Lambdausing java to perform event-driven processing. Created Lambda jobs and configured Roles usingAWS CLI.
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new python scripts to support new functionality in Terraform.
• Deployed Ansible playbooks in AWS environment using Terraform as well as created Ansible roles using YAML. Used Ansible to configure Tomcat servers and their maintenance.
• Used Ansible playbooks to set up Continuous Delivery (CD) pipeline which primarily consists of Jenkins to run packages and its supporting software components which are from the Maven build tool.
• Worked on Docker container snapshots, attaching to a running container, removing images, managing director structures, and managing containers. Created packages in containers and committed those containers using both Docker file and Docker commit command and updated them into Docker registry.
• Configured Jenkins, used it as a Continuous Integration tool for installing & configuring Jenkins’s master & connecting it with multiple build slaves, and performed java application builds using Ant & Maven.
• Responsible for installing & administrating SonarQube for code quality check and Nexus repository for generating the reports for different projects. Also, integrated SonarQube & Nexus with Jenkins.
• Wrote Python, Ruby, and Bash scripts to monitor the installed enterprise-level applications and manage the configurations of multiple servers using Ansible.

Environment: AWS, AWS Lambda, Kubernetes, Docker, Jenkins 2.0, Apache, Nginx, Ubuntu Linux, VMware ESX, Python, Git, Gitlab, Bash, Ruby, Groovy, Yaml, SonarQube, Terraform, Ansible, Agile/Scrum, SDLC.

Confidential, SanDiego, CA

DevOps Engineer

Responsibilities:

• Hands-on Experience in creating Azure Key Vaults to hold Certificates and Secrets, designing Inbound and Outbound traffic rules, and linking them with Subnets and Network Interfaces to filter traffic to and from Azure Resources.
• Well-versed in automating Infrastructure using Azure CLI, monitoring and troubleshooting Azure resources with Azure App Insights, and accessing subscriptions with PowerShell.
• Configured and maintained Azure Storage Firewalls and Virtual Networks, which use virtual Network Service Endpoints to allow administrators to define network rules that only allow traffic from specific V-Nets and subnets, so creating a secure network border for their data.
• Implemented and provided Single Sign-On (SSO) access to users using Software as a Service (SAAS) applications such as Dropbox, Slack, and Salesforce.com using Azure Active Directory (AAD) in Microsoft Azure.
• Developed continuous integration and deployment pipelines that automated builds and deployments to many environments using VSTS/TFS in the Azure DevOps Project.
• Focused on using Terraform Templates to automate Azure IAAS VMs and delivering Virtual Machine Scale Sets (VMSS) in a production environment using Terraform Modules.
• Involved in creating Jenkins pipelines to drive all microservices builds out to the Docker images and stores in Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes and also performed Jenkins jobs for deploying using Ansible playbooks and Bitbucket.
• Involved in integrating Docker container-based test infrastructure into the Jenkins CI test flow and setting up a build environment integrating with GIT and JIRA to trigger builds using WebHooks and Slave Machines.
• Configured CI/CD pipeline in Jenkins to implement Continuous Integration and Continuous Delivery process, accommodate software teams with compilation and artifact deployment requests in an AWS cloud environment.
• Splunk experience includes installing, setting, and troubleshooting the software, and monitoring server application logs with Splunk to detect production issues.
• Handled integrating JIRA with GIT repositories to track all code changes and implemented Azure Boards to track all issues relevant to the software development lifecycle.

Environment: Azure, Azure-DevOps, Jenkins, Web logic, Nexus, JIRA, Ansible, Oracle, Terraform, Kubernetes, Prometheus, Python,Maven, Java, GitHub, Linux, ELK, GI, MS Share point, Windows, Splunk, PowerShellScripts, Shell Scripts, Chef, Ansible, OpenStack, Docker, Service-Now, Kubernetes

Confidential, Forte Mead, MD

Linux Administrator

Responsibilities:

• Created and maintained user accounts in RedHat Enterprise Linux (RHEL)and other operating systems
• Troubleshooting and maintaining of TCP/IP, Apache HTTP/HTTPS, SMTP and DNS applications.
• Configuration of NIS, DNS, NFS, SAMBA, SENDMAIL, LDAP, TCP/IP, Send Mail, FTP, Remote access Apache Services onLinux&Unix Environment.
• Migrated different projects from Perforce toSVN
• Performing NIC bonding onLinuxSystems for redundancy.
• Diagnosed and resolved problems associated with DNS, DHCP, VPN, NFS, and Apache.
• Highly skilled in Splunk to build, configure and maintain different environments and in-depth knowledge of log analysis generated by various operating systems.
• Installed and monitored Splunk Forwarders on Windows, UNIX and LINUX servers.
• Used XML, Advanced XML and Search Processing language (SPL) for creating Dashboards, views, alerts, reports and saved searches.
• Installed, tested and deployed monitoring solutions with Splunk services.
• Resolved configuration-based issues in coordination with infrastructure support teams.
• Maintained and managed assigned systems, Splunk related issues and administrators.
• Skilled in deploying, configuring and administering Splunk clusters.
• Expertise in remote access and application virtualization technologies such as XEN, VMware, ESX, ESXi, etc onLinux.
• Coordinating with 24 x 7 on-call support personnel in debugging.

Environment: RHEL, Windows, Shell Script, VMware servers, XEN, ESX, ESXi, WebSphere, Perforce, Splunk Enterprise Server 5.x, SVN, Windows 2003 server, Kick Start, Solaris.

Confidential, Cleveland, Ohio

Unix/Linux Administrator

Responsibilities:

• Involved in design, configuration, installation, implementation, management, maintain and support for the Corporate Linux servers RHEL 4.x, 5.x, SLES 9, CENTOS 5.x.
• Installation, integration and management of data backup/recovery solutions. Management and configuration of VMWare virtual machines running Oracle/Sun Solaris X86/64, Red Hat Enterprise.
• Installed, configured and administered Web Servers like Apache HTTP Server, Apache Tomcat and Sun One Web Server for WebLogic plug-ins.
• Implemented modules in SOA platform to support various integration styles which includes SOAP, REST, and XML over HTTP and JSON.
• Installed new / existing servers and configured services, settings, directories, storage, etc. in accordance with project/operational requirements.
• Manages Patches configuration, version control, service pack and reviews connectivity issues regarding security problem.
• Extensive experience in User Administration with creating users, groups, and giving permissions Created and maintained user accounts, profiles, security rights, disk space and process monitoring, e.g. reset password and unlock locked user account.
• Handled the VMware solutions to support multiple storage connectivity options such as FC-SAN, iSCSI, NFS (NAS) and internal storage. Installed, configured and maintained the Linux servers and workstations.

Environment: ESXi, Sun Solaris 8/9, Red Hat Linux 8,9.0, Samba, Sun fire (210, V240, V440, V490, V880,1280) Servers, HP DL- 320/360/380/560/580 L servers, EMC storage devices, Tivoli Storage Manager 5.x, web sphere, Oracle 8/9i/RAC, Apache 2.x/3.x.