SUMMARY

• 8+ years of experience in IT Professional and 7 years specialization in Cloud/DevOps Engineer, experienced in DevOps, Build/Release Continuous Integration, Continuous Deployment, and Configuration Management on each packaging Quality Control and which also includes Trouble shooting and performance issues on Linux and Windows platforms.
• Involved in designing and deploying a large application utilizing almost all teh AWS stack (Including IAM, EC2, S3, Route 53, ELB, Code Commit, Code Build, Code Deploy, RDS, Glue, Dynamo DB, SNS, SQS, Cloud Formation, EBS) focusing on high - availability, fault tolerance, and auto-scaling in AWS cloud.
• Cost optimization for Awsservices and build Serverless Architecture by using Lambda functions, STEP Function, Atana, Glue, S3, Cloud Watch and Cloud Metrics.
• Experienced in Provisioning of IAAS & PAAS concepts of cloud computing and implementing using, Aws, Azure, Google Cloud Platform understanding teh principals of (SCM) in Agile, Scrum and Waterfall methodologies.
• Manage teh Windows Azure infrastructure for our customers depends on their requirement. Worked on Microsoft AzureStorage - Storage accounts, blob storage, managed and unmanaged storages. Responsible of web application deployments over cloudservices (web and worker roles) on Azure, using VS and PowerShell.
• Developed Agile processes using Groovy, JUnit to use continuous integration tools Worked for designing and creating a Micro services delivery platform Initiative.
• Expertise in DevOps, Release Engineering, Configuration Management, Cloud Infrastructure Automation tools like Git, Bitbucket, Maven, Jenkins, TeamCity, Chef, Ansible, Terraform, Docker, Kubernetes, Nagios and ELK.
• Experience in working with Terraform for automating VPC's, ELB's, Security groups, SQS queues, S3 buckets and continuing to replace teh infrastructure as a code from scratch.
• Setup automated build, test and release platform using TeamCity, Jenkins pipeline as a code, SonarQube and JFrog Artifactory to be triggered on every code commit.
• Developed in AWSCLI script automation for EMR (end-to-end) and other AWSservices and build Serverless Arch using Lambda (Boto3) and Step Functions.
• Experience in transporting, and processing real-time stream data using NIFI, Kafka and Storm.
• Hands on experience in GNU tool chain (Gcc, gdb, make, arm Gcc)
• Implementing CI (Continuous Integration) Configuring Jenkins and Team City servers creating required scripts (Bash shell, Perl & Python), and creating/configuring VMs (Windows/Linux) also Created Infrastructure report of system configurations using Power Shell Scripts.
• Experience migrating infrastructure and application from on premise to Azure and from Cloud to Cloud such as AWS to Microsoft Azure and GCP.
• Experience Active Directory, Azure Active Directory, ADFS, Azure Active Directory Domain Service, SSO and MFA and security
• Experience with NIFI specifically with developing custom processors and workflows
• Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and data mining, machine learning and advanced data processing. Experience optimizing ETL workflows.
• DevOps practice for Micro Service and docker based cluster using Kubernetes and spinnaker as Orchestrator on application development for cloud platforms using like Spring boot, Microservices.
• Experience using MAVENand ANT build tools for building of deployable artifacts (jar, war & ear) from source code. Automated weekly releases with ANT/MAVEN scripting for Compiling java code dubbing.
• Experience in working over Apache Spark, Kafka, Hadoop, Cassandra under teh environment of Apache Mesos.
• Building/Maintaining Docker container clusters managed by Aws, Linux, Bash, GIT, Docker. Utilized kubernetes kops cluster and Docker for teh runtime environment of teh CI/CD system to build, test deploy.
• Used monitoring tool like Dynatrace, Splunk, Nagios, Configured, and Managed Monitoring Tools such as Nagios for Resources Monitoring/Network Monitoring/Log Trace Monitoring.
• Familiar with helmcharts for deployment manager to use of charts and templates for listed file names.

TECHNICAL SKILLS

Operating Systems: Red Hat Linux, CentOS 6 & 7, Ubuntu12.x, 13.x, 14.x, Windows 98, Vista, Windows Server 2003, 2008, 2012, VMware ESX and Mac OS.Web/ Application ServersTCP/IP, NFS, DNS, VPN, DHCP, WAN, HTTP, LAN, FTP/TFTP, VMware nexus switch, IP Networking, F5 load balancer.

Databases: MySQL, MemSql, Oracle, MySQL, Mongo DB, PostgreSQL, RDS, ElastiCache

Version Control Tools: Subversion, TFS, GIT, GIT HUB, SVN, Bitbucket.

Configuration Management: Ansible, Chef, Puppet

CI/CD Tools: CloudBees Jenkins/Hudson, Team City, Maven, SonarQube, Nexus Artifactory.

Container Tools: Kubernetes, Docker, OpenShift

Monitoring Tools: Dynatrace, Grafana, Nagios, Splunk, AWS cloud watch, ELK

Scripting Languages: Ruby, Python, Golang, groovy, Unix Shell scripting, Node JS, XML, HTML, JAVA, JEE, JavaScript, Angular JS, Power Shell, JSON, YAML, AWS Lambda.

Bug Tracking & Testing tools: JIRA, J Unit, J Meter Test Flight, Test Rail, Selenium.

PROFESSIONAL EXPERIENCE

Sr. Azure Kubernetes Administrator/DevOps Engineer

Confidential - NYC, NY

Responsibilities:

• Administrating and supporting company’s Azure Kubernetes infrastructure, ensuring it is secure, resilient and performance and responsible for complete DevOps activities and coordinating with development team.
• Working as Kubernetes Administrator, involved in configuration for web apps, Azure App services, Azure Application insights, Azure Application gateway, Azure DNS, Azure traffic manager, App services.
• Configured V-net integration, Active directory, Encryption and security on Azure using ARM templates and PowerShell scripts.
• Responsible to configure alert notification to monitor CPU metrics, VM health’s and events logs.
• Deployed VNETs and site-site VPN using PowerShell and deployed VMs into various subnets and enabled communications between subnets.
• Developed PowerShell scripts and ARM templates to automate teh provisioning and deployment process.
• Successfully created kubernetes pipeline of deployment & operation activities where all code is written in java, python& stored into bitbucket, for staging & testing purpose.
• Preferable Azure by creating multilevel hybrid pipeline of CI & CD halped clients to achieve kubernetes platform.
• Automated various infrastructure activities like Continuous Deployment, Application Server setup, stack monitoring using Ansible Playbooks using Jenkins.
• Deployed Active Directory domain controllers to Microsoft Azure using Azure VPN gateway.
• Implemented cluster services using Docker and AzureKubernetesservices (AKS) to manage local deployments in kubernetes by building a self-hosted kubernetes cluster using Jenkins CI/CD pipeline.
• Maintained and automated teh scripts by usingPython for automated deployments.
• Developed Ansibleplaybooks to manage Web Applications, Environments configuration files, Users, Mount, points and packages. Implemented Continuous Integration using Jenkins and GIT.
• Implemented Podsecuritypolicies (PSP) in AKS for required best practices and teh ability to control wat pods to be controlled, scheduled in AKS cluster prevents some possible security vulnerabilities or privilege Escalations.
• Automation of PEGA deployments using Ansible.
• Aligned Azure and GCP capabilities and services with work load requirements
• Support PEGA team maintenance activities and implementation of system updates.
• Installed and Configured teh Jfrog Artifactory and Mission Control.
• Moved all Kubernetes container logs, application logs, event logs and cluster logs, activity logs and diagnostic logs into Azure EventHubs and tan into Splunk for monitoring.
• Worked on setup of teh kubernetes sandbox on Azure Kubernetes Services(AKS) for testing teh different features.
• Provide solutions for data engineers such as NIFI processors and workflows
• Daily monitoring production servers using Grafana and Prometheus which is integrated with kubernetes, exceptions and report to teh team if something happen during standups.
• Created automation and deployment templates for relational and NOSQL databases including MongoDB and Redis.
• Migrated 9 microservices to GCP from skava and has one more big release planned with 4 more microservices.
• Setup Alerting and monitoring using Stackdriver in GCP.
• Installed and Configured teh Jfrog Mission control and integrated with different environments of Artifactory instances.
• Managing Azure DevOps build and release pipeline. Setting up new repos managing teh permissions for various GIT branches. Deployed microservices, including provisioning AZURE environment.
• Coordinated with PEGA support team to troubleshoot and fix technical issues.
• Extended support for existing product teams on how to integrate CI/CD into development life cycle.

Environment: Azure, Terraform, Jenkins, Kubernetes, Docker, Ansible, Jira, Confluence, PowerShell Windows, IIS, Python, splunk, Grafana, Prometheus, Twistlock, istio, Jenkins, git, Ansible.

Sr. DevOps/Cloud Engineer

Confidential - Eden Prairie, MN

Responsibilities:

• Experience in creating teh company's DevOps strategy in a mix environment of Linux (RHEL, Ubuntu, CentOS) servers along with creating and implementing a cloud strategy.
• Experience in using Cloud Infrastructure management and ImplementationWorking experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites. Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, Scheduling, Auto Scaling, and Power Shell Automation.
• 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.
• Deployed Azure IaaS Virtual Machines (VM’s) and PaaS role instance s (Cloud Services) into secure VNets and subnets, designed VNets and Subscriptions to confirm to Azure Network Limits.
• Experience in migrating on-premise data center to Aws cloud using VM Import/Export, Aws Data Migration Services.
• Maintained teh user accounts (IAM), Cloud SQL, Cloud DNS, VPC, RDB, Cloud Datastore Cloud Bigtable, SQS and CloudPub/Sub services in Aws.
• Designed and implementing Aws Cloud Infrastructure by creating templates for Aws platform also used Terraform to deploy teh 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 CI/CD pipeline integrating various tool with Cloud Bees Jenkins to build and run Terraform script templates to create infrastructure in Azure.
• Worked on Power Shell scripts to automate teh Azure Cloud system in creation of Resource groups, Web Applications, Azure Storage Blobs& Tables, firewall rules and used Python scripts to automate day to day administrative tasks.
• Installed and configured MapReduce, HIVE and teh HDFS; implemented CDH3 Hadoop cluster on CentOS. Assisted with performance tuning and monitoring.
• Worked on Apache Cassandra, Spark along with Terradata for managing large data-sets of structured data which also performed ETL.
• Experience in using Cloud Infrastructure management and Implementation Working experience on various Azure services like Compute (Web Roles, Worker Roles), Azure Websites. Caching, SQL Azure, NoSQL, Storage, Network services, Azure Active Directory, Scheduling, Auto Scaling, and Power Shell Automation.
• Optimized teh Cassandra cluster by making changes in Cassandra configuration file and Linux OS configurations.
• Used Jenkins to create CI/CD pipeline for Artifactory using teh plugin provided by Jfrog
• 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.
• Shared responsibility for administration of Hadoop, Hive and Pig.
• Maintained teh user accounts IAM Roles, Route 53(CNAME), VPC, RDB, MongoDB, SQS & SNS services in AWS cloud.
• 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.
• 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.
• Deployed windows Kubernetes cluster with Azure Container Service (ACS) from Azure CLI and Utilized Kubernetes and Docker for runtime environment of teh CI/CD system to build, test and deploy.
• Configured commercial SSL certificates for high availability architecture applications Servers such as Web Spheres, WebLogic, Tomcat using NGINX and Apache web servers to terminate SSL endpoint.

Environment: Azure, Aws, Kubernetes, Docker, Swarm, Jenkins, Ansible, Jira, Confluence chef, Git, .net, ASP.net, Git-Hub, Maven, MemSql, PowerShell Windows, Terraform, JIRA, Apache Tomcat, Shell Script, Python, Linux, Dynatrace, Splunk.

AWS & DevOps Engineer

Confidential, Dallas, TX

Responsibilities:

• Worked on public cloud infrastructure preferably using AWS Product and Services Ec2, virtual private cloud (VPCs), IAM, Security groups, Elastic Beanstalk, S3, VPC, Cloud Formation, RDS, Lambda, Redshift, SQS, SNS, cloud watch and Security Services AWS Shield, AWS Trusted Advisor, cloud front, CloudTrails.
• Experienced in working AWS key Management service (KMS) is a service that halps to create and control teh encryption keys used to encrypt data.
• Provisioned EC2 instances into AWS by using Terraform scripts from scratch to pull images from Docker and performed AWS S3 buckets creation, policies on IAM role-based policies and customizing teh JSON template.
• Experienced in Performed back-ups, scan states and load states of user's profile during teh Azure migration process.
• Implemented various resources in Azure using Azure portal, PowerShell on Azure Resources Manager deployment models. Experience deploying infrastructure as code applications using ARM Templates (JSON).
• Expertise in release automation for .net technologies to achieve continuous integration and continuous delivery (CI and CD).
• Solved various .Net application issues and providing various technical solutions for .Net, TFS and Microsoft IIS.
• Used Ansible inventories to define groups of hosts using Ansible templates to create customized files.
• Orchestration of Docker images and Containers using Kubernetes by creating whole master and node.
• Created, maintained and automated teh scripts by using Groovy, BASH, PYTHON and RUBY.
• Created Log collection in ELK (Elastic Search, Logstash) installed on all nodes in cluster to send log data.
• Created and deployed web interfaces reporting on multi-platform automated builds and test suites (TFS build reporting, SharePoint Server, Cruise Control and IIS) experience using Agile Scrum methodology.
• Experience in noledge of DB mirroring in SQL server and fail over clustering on high availability SQL server also responsible for SQL server edition upgrades and SQL server patch management.
• Review firewall policies on regular basis for compliance and ensure to follow best practice for firewall deployments using security Management tools.
• Troubleshooting Network, memory, Swap and File system issues, TCP/IP, NFS, DNS and SMTP in Linux Servers.

Environment: Aws, Azure, Redshift, GIT, Hudson, Jenkins, TFS, WebSphere, WebLogic, JBOSS, Apache, TOMCAT web services, Docker, EC2, S3, RDS, EBS, auto scaling, Opsworks, Kubernetes, Ansible, Puppet, Nagios, Jira, VMware Bash, Python and Ruby, Unix/Linux, Windows, RHEL 4/5/6, CentOS.

Build & Release Engineer

Confidential, Nashville, TN

Responsibilities:

• Responsible highly motivated and committed DevOps Engineer experienced in Automating, configuring and deploying instances on AWS, cloud Environment and Data centers.
• Familiar with EC2, Code Commit, Cloud Deploy, Code Pipeline, Cloud watch Elastic Search on AWS.
• Managing users like creating, deleting and granting proper privileges and managing system security.
• Analyze and resolve compilation and deployment errors related to code development, GIT branching, merging and Used Ant, Maven to perform daily and weekly Software Builds of source code.
• Responsible for designing and deploying best SCM processes and procedures.
• Replicated teh Jenkins buildserver to test VM using Packer, Virtual Box, Vagrant, Chef, Perl brew and Server.
• Using Chef and AWS allowed me to reduce costs for teh department and eliminate unwarranted resources. Automated provisioning of cloud infrastructure with Chef.

Environment: Linux, HP-UX(RHEL/SUSE/SOLARIS/HP-UX/AIX), centos, DNS/NFS/NIS/NTP, Jenkins, Ant, Maven, Chef, AWS Virtual Box, Vagrant, Chef, Perl brew, Server spec, Shell, Python.

Unix/Linux Administrator

Confidential

Responsibilities:

• Installed and configured SSH server on Red hat/CentOS Linux environments. Managed VMs for Solaris x86 and Linux on VMware ESX 3.5 and administering them with VI Client.
• Involved in implementing and Administrating enterprise level data backups and Data Recovery.
• Maintained maximum uptime and maximum performance capacity for Enterprise Production, QA, and UAT/Staging.
• Configuring network services such as DNS/NFS/NIS/NTP for UNIX/Linux Servers. Accomplished User administration of UNIX / Linux account using CentOS.
• Automated tasks using Korn, Bash Shellscripts.

Environment: RedHat Linux 3/4, VERITAS Cluster Server 5.0, VERITAS Net backup 6.5, VM Ware ESX 3.5, Virtual Center 2.5, Unix, Apache 2.2.x, Web Server 7, WebLogic 10, Solaris 9/10, KSH, bash, Oracle 10g.