SUMMARY

• Certified Kubernetes Administrator and Azure DevOps - Expert with 10+ years of experience in various platforms such as software release, building pipeline, troubleshooting and debugging the issues, Continuous Integration/Continuous Deployment (CI/CD), Containerization and Orchestration, Infrastructure readiness, Cloud platforms like Azure, AWS and GCP, Azure-DevOps, Linux/Unix System Administration with strong knowledge on the principles and best practices of Software Configuration Management (SCM) in Agile, waterfall, Scrum Methodologies.
• Proficient in MicrosoftAzure IAAS, SAAS and PAAS services such as Azure Virtual Networks, Azure Virtual Machines, Azure Blob storage, Azure Data Factory, Active Directory, Azure Cloud Services, Azure Resource Groups, Azure Express Route, Azure Traffic Manager, VPN, Azure Load Balancing, Application Gateways, Auto-Scaling, experienced in configuring and deploying Azure Web Apps, monitoring by Azure Application Insights, and creating Web-Jobs.
• Expertise in working with Azure Policy services, Azure Custom role creation and Azure roles assignments, Web Roles, Worker Roles, Azure Data Factory, Azure Service Bus, Azure Traffic Manager, Azure Monitoring, Azure OMS, Key Vault, Cognitive-Services (LUIS) & SQL Azure, Cloud services, ExpressRoute, Application Gateways.
• Expertise in configuring and deploying AZURE AD Connect, configuring ADFS authentication flow, ADFS installation using AZURE AD Connect. proficient inAzureNetwork Security Groups,AzureOperational Insight and OMS,AZURE Premium Storage, Site Recovery, Network Virtual Appliance, Client-Side encryption forAzure storage objects.
• Experienced in migrating on premise storage to Microsoft Azure using Azure site recovery, Azure backups and deployed Azure IaaS virtual machines, experienced in using Azure Internal Load balancers.
• Experienced in writing AZURE Resource Manager (ARM) Template and experienced in designing custom build steps using PowerShell scripts, ARM templates to automate the provisioning and deployment process.
• Had good experience in writing the terraform scripts using Azure Terraform modules and deployed multiple resources and created infrastructure on azure. Also worked in designing custom build steps in terraform to automate the provisioning and deployment process.
• Had good knowledge in Azure DevOps services such as Repos, Test Plans, Azure Pipelines, Azure Web Apps, and Application Insights and had hands on experience in setting up Azure DevOps platform by creating multiple projects, teams in an organization and onboarded users with different access levels such as Stakeholders, Basic, MSDN.
• Experience in writing Ansible playbooks with best practices to deploy automated tasks to multiple servers, Managing Configurations of AWS Nodes and Test Playbooks on AWS instances and written Ansible Scripts to assist Dev servers.
• Proficient in writing Ansible playbooks to automatically install packages from a repository, to change the configuration of remotely configured machines and to deploy new builds. Configured Ansible playbooks with Ansible Tower so that other users can run them with just a click of a button. Integrating Ansible tower with Jenkins to deploy code to different servers.
• Proficient in writing Docker files with best practices along with Creating Docker Images, Docker limiting, Docker container management with Docker volumes, Volume mounts, container-based DB and services, Docker Artifactory (JFrog) configuration and setup and had experience in Docker Container Snapshots.
• Experienced in managing antifactory files and images and pushed them to Azure shared image gallery.
• Expertise with designing and deploying container-based production clusters using Docker, Kubernetes, Docker weave, Docker composer, Docker file. worked on container snapshots, removing Images, managing Docker volumes and Docker Weave for Network communication between containers.
• Experienced in ManagingKubernetescharts and Helm Packages. Created reproducible builds of theKubernetesapplications, managedKubernetesmanifest files and managed releases of Helm packages.
• Experienced in Azure Kubernetes service to produce production-grade Kubernetes that allow enterprises to reliably deploy and run containerized workloads across private and public clouds.
• Experienced in writing yaml files with best practices and created Pods, deploying services in pods and monitoring Kubernetes cluster activity, good at trouble shooting the Pod issues by looking at Pod logs, API server logs.
• Managing major architecture changes from single server large software system to a distributed system with Docker and Kubernetes orchestration.
• Experienced in creating Pods and managed using Kubernetes and create Kubernetes persistent volumes (PV) persistent volume claims (PVC).
• Experienced in Amazon Web Services (AWS) cloud platform and services like Lambda, DynamoDB, EBS, ELB, AMI, Elastic Beanstalk, CloudFront, CloudWatch, Ops Work SNS, Glacier, Auto-Scaling, IAM, Route53, EC2, S3, RDS, VPC, VPN, Security-Groups and through AWS management console.
• Experience in Designing and distribution of Data across all the nodes and Clusters on different availability zones in AWS Redshift and Scaling Amazon RDS, MySQL, MongoDB, DynamoDB, Cassandra DB, PostgreSQL, Instances Vertically and Horizontally for High Availability.
• Had good Hands-on experience in configuring Jenkins by identifying and installing required plug-ins. Experienced in writing Groovy scripts and Jenkin files to configure and automate Build Jobs, Build Pipelines using Jenkins and created a master and slave configuration to implement multiple parallel builds through a build farm.
• Expertise in understanding the Jenkin build process and creating DSL jobs using groovy files and automating pipelines.
• Experience in installing, configuring, and administering Jenkins CI tool on Linux machines. Worked on setting up the Jenkins CI/CD pipeline configurations for all the microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes.
• Had good Experience in integrating Jenkins with various tools like Maven (Build tool), Git (Repository), SonarQube (code verification), Nexus (Artifactory) and implementing CI/CD automation for creating Jenkins pipelines programmatically architecting Jenkins Clusters.
• Expertise in Design, build and implement self-service solutions for cloud-native applications and infrastructure.
• Expertise in Setup of CI/CD pipeline components for Jenkins, Spinnaker, Concourse CI, GitLab CI, AWS Code Pipeline, AWS Code Build, AWS Code Deploy, Amazon ECR and Kubernetes Helm Charts and Integrated GitLab with VSTS (Visual Studio Team Services) using Cloud pipes.
• Had good experience on build tools like MAVEN, ANT and Gradle for the building of deployable artifacts (jar & war) from the source and static code analysis using SonarQube.
• Proficient with Ruby, Perl, Power Shell, JSON, YAML, Groovy, Bash/Shell, Python.
• Experience in using Nagios monitoring system and different Bug Tracking Tools like Remedy, Jira, ServiceNow and Clear Quest.
• Expertise in Builds, migrations and integrations of Kubernetes, Jenkins, Spinnaker, Istio, Prometheus, GitLab CI and Nexus.
• Experience in Monitoring server performance with tools like Nagios, Splunk, Dynatrace, Datadog, New Relic and resolved network related issues with manual commands and built Splunk Cluster environment with High Availability resources.
• Designed an ELK (Elasticsearch Logstash Kibana) system to monitor and search enterprise alerts and configured ELK stack in conjunction with AWS and using Logstash to output data to AWS S3. Implemented a centralized logging system using log stash configured as an ELK stack to monitor system logs, AWS CloudWatch, VPC Flow Logs, CloudTrail Events, changes in S3 etc.
• Had good Experienced in latest technologies (Filebeat, Elastic search, Logstash, Kibana, Graylog, ElastAlert, Buildkite) in building dashboards and managing logs and data from different servers, so that all the application teams across the organization can access and monitor their application logs in dashboards.
• Experience in System Administration, System Builds, Server Builds, Installs, Upgrades, Patches, Migration, Trouble shooting, Security, Backup, Disaster Recovery, Performance Monitoring and Fine-tuning on UNIX (Red Hat Linux) Systems.
• Experience in writing automation test cases using selenium framework as part of in-sprint and regression testing.
• Expertise in Core Java with strong understanding & working knowledge of Object-Oriented Programming (OOPs) concepts like Abstraction, Polymorphism, Inheritance, and Encapsulation and experience in Design and Development of Web - based Enterprise Applications using Java and JEE Technologies with Software Development Life Cycle (SDLC).

TECHNICAL SKILLS

• Cloud Platforms Microsoft Azure
• Amazon Web Services
• GCS Container Orchestration Tools Docker Swarm
• Kubernetes
• EC2 Container Services
• Azure Container Services
• OpenShift Configuration Management Chef
• Ansible
• Puppet Version Control Tools GIT
• GITHUB
• SVN
• Perforce
• Bitbucket Web and Application Servers JBOSS
• Apache Tomcat
• Web Sphere
• Web Logic
• Nginx
• Send Mail Monitoring Tools Nagios
• Splunk
• Dynatrace
• ELK
• Datadog
• Grafana
• New Relic Bug Tracking Tools JIRA
• ServiceNow
• Bugzilla
• HP ALM
• Confluence
• Rally
• IBM ClearQuest Build Tools Maven
• Ant
• Gradle Continuous Integration Jenkins
• Bamboo
• Hudson Scripting Languages Shell
• Ruby
• Python
• PHP
• Perl
• JavaScript
• PowerShell
• JSON
• YAML Languages Java
• J2EE python
• R Database MySQL
• Oracle
• Dynamo DB
• Mongo DB
• Cassandra Repository Management Nexus
• JFrog Virtualization VMware
• Windows Hyper-V
• Power VM
• Vagrant
• Virtual box Operating System Red Hat
• Ubuntu
• Debian
• Fedora
• CentOS
• Windows
• Solaris
• Mac OS Networking Protocols TCP/IP
• DNS
• NFS
• ICMP
• SMTP
• DHCP
• OSPF
• BGP
• UDP and RIP

PROFESSIONAL EXPERIENCE

Cloud Consultant

Confidential, Michigan

Responsibilities:

• In this project we majorly worked implementing CICD pipelines from end to end using azure DevOps and worked on implementing ARM and yaml files to integrate with in pipeline creation.
• Worked on creating pipelines to automate the processes like provisioning and deploying Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) such as Azure Virtual Machines, Azure Virtual Networks, Azure Service principles, Azure App registrations, provisioning Azure worker role, configuring and setting up Private Static IP Address and Public IP address.
• Worked implementing pipelines for DeployingAzure virtual machines (VMs) into secure Azure V-Nets and subnets and ConfiguredAzureTraffic Manager to build routing for user traffic Infrastructure Migrations and performed Operational efforts to deploy all legacy services to a fully Virtualized Infrastructure.
• Worked on creating and managing Azure Active directory tenants, manage Azure user roles and resource groups, and configure application integration with Azure AD. Worked on Integrating on-premises Windows AD with Azure AD, configure multi-factor authentication (MFA) and federated single sign-on (SSO).
• Configured Azure Automation DSC configuration management to assign permissions through Azure RBAC (Role-based Access Control), assign resources and nodes to proper automation accounts, to get alerted on any changes made to nodes and their configuration.
• Performed configuration ofAzureWeb Apps, App services, function apps, Application insights,Azure DNS,Azure Network Watcher and implementingAzuresite recovery,Azurestack, Backup and Automation.
• Worked on CreatingAzureAutomation Assets, Graphical runbooks, PowerShell runbooks that will automate specific tasks. Expertise in deployingAzureAD Connect, configuring ADFS authentication flow, ADFS installation usingAzureAD Connect.
• Worked on configuring HTTP Triggers in theAzureFunctions with Application insights for monitoring and performing load testing, uploaded all the agent logs into Azure blob storage.
• Written runbooks in PowerShell and deployed using CICD Azure DevOps to Automation Accounts. Release pipelines use Azure AD, azure Application Registration, azure service principal in the Azure DevOps service connections for authentication to Azure. Runbook uses these connections for Authentication.
• Worked on implementing CICD pipelines in Azure devops, implementing build pipelines, release pipelines and automated provision and deployment processes.
• Worked extensively on Azure DevOps services such as Repos, Test Plans, creating agent pools and creating custom agents like VMs from azure portal, CICD Pipelines, Web Apps, and Application Insights. And Written many CICD pipelines using classic UI and Yaml code to deploy and provision any resources on azure portal.
• Had good experience in writing the Terraform templates for provisioning virtual networks, subnets, VM Scale sets, Load balancers and NAT rules and by using Terraform graph module we visualize execution plan for analyzing the plans. Along with writing the terraform I was involved in writing new plugin scripts which supports the new functionalities in Terraform.
• Also, Developed Ansible Playbooks to simply and automate some tasks, manage Web applications, environment configuration files, Mount points, and Packages. Customized Ansible modules as per the project for identify the facts about Azure Monitoring alarms and respond to manage those alarms during deployments and maintenance.
• After implementing the terraform templates, we used those templates to provision the resources and deployed in cloud as required.
• Worked on implementing, managing, and configuring yaml files in best practice to create pods, used deployment sets, daemon sets, stateful sets while writing yaml files as required.
• Experienced in managing the Kubernetes to deploy, load balance using ingress, scale and managed docker containers with multiple name-spaced versions.
• For running the microservices and to maintain the microservices, we designed Kubernetes templates which will integrated with Cassandra, Grafana, Kafka. And we pushed these microservices to production with Kubernetes backed infrastructure.
• Experience in working with service mesh like Istio for advanced service discovery of microservices running in the cluster and involved in securing the Kubernetes services using Istio service mesh, implemented cluster services using docker and Kubernetes to manage local deployments in Kubernetes by building self-hosted Kubernetes.
• Experienced in implementing secured Istio service mesh on top the Kubernetes as a networking layer that automates and secures communication betweenKubernetesapplications.
• Developed a greenfield project leveraging Docker and Azure Kubernetes Service (AKS), including configuration standards, designing infrastructure with secure networking, and CI/CD pipelines. Used Azure Kubernetes Service to deploy a managed Kubernetes cluster in Azure.
• Worked on Kubernetes Clusters creation with kubeadm & Cloud with KOPS, Administered Worker Nodes, Storage Classes, RBAC, Namespaces, HA Masters, Ingress Controller, Stateful-Sets, Config-Map, Secrets, Service Discovery & Mesh with Istio/Envoy, Monitoring using Prometheus & Grafana. Pod Autoscaling with Metrics Persistent Volumes and Claims, Endpoint Protection with CrowdStrike Falcon.
• Provisioned Azure cloud using Kubernetes that supports DEV, TEST, and PROD environments. Implemented a production ready, load balanced, highly available, fault tolerant, auto scaling Kubernetes infrastructure and microservice container orchestration.
• Worked on migrating core networking infrastructure to Terraform to better align with enterprise tooling this included Gateways, Nets, Subnets, NSGs. And written Terraform templates for provisioning virtual networks, VM Scale sets, Load balancers, NAT rules.
• Implemented Blue Green/Canary Deployments nodes with Zero downtime where the current environment is replicated to latest version with Kubernetes to work on bug fixes, patch fixes, patch releases and redirect the traffic to it, once the issues are resolved.
• Worked on azure log analytic workspace where we there are chances of getting more logs from Kubernetes and we will filter that logs and transfer logs to Splunk and monitoring dashboards.
• Implemented cloud security controls in dev SecOps tools to encryption, tagging, container, security, NSG Management, service endpoints.
• Hands on experience with application security testing tools like SAST and DAST using tools like HP Fortify, HP Web Inspect, Check Marx and IBM Appscan.
• For monitoring and analyzing the network loads on the individual machines we implemented the use of Nagios and Splunk tools for and automated the testing of web applications using Selenium Web driver.
• Used GIT as a source code management tool for creating local repo, cloning the repo, adding, committing, pushing the changes in the local repo, saving changes for later (Stash), recovering files, branching, creating tags.
• Implemented Self-service solutions to ease the process of deployment or triggering build using customized html pages.
• Environment: Microsoft AZURE, Azure AD, Azure SQL, Azure Network, Kubernetes, Ansible, Jenkins, Docker, Terraform, Microsoft Azure Storage, dev SecOps, SonarQube, Groovy, Maven, Git, Gitlab, ELK, Splunk, Jira, Nexus, Tomcat, GitHub, Linux, Filebeat, Elastic search, Logstash, Kibana, Graylog, ElastAlert, Buildkite.

Cloud Engineer

Confidential, Birmingham, Alabama

Responsibilities:

• In this Project we worked onMicrosoft Azure(Public) Cloud to provide infrastructure readiness support and migration support to client. Where we worked on setting up Automation scripts to create Virtual Machines, VNs, managed Storage Account and Affinity Group inAzure Portal.
• Worked on Configuring Site to Site VPN Connectivity. Configured Window Failover Cluster by creating Quorum for File sharing in Azure Cloud.
• Worked on Creating azure log analytics workspace and enabling cluster addon, leverage integrated Azure Kubernetes Service monitoring to figure out if requests are failing, inspect Kubernetes event or logs. Also monitored Kubernetes clusters health by using Prometheus and Grafana.
• Implemented a set of automation scripts usingAzureautomation tool to make the migration process easy. And Created ad hoc scripts to add a virtual machine using Desired State configuration tool. Provided real time predictions by usingAzure Stream Analytics and usedAzureIOT Hub for Monitoring Assets and Telemetry Ingestion.
• Worked on implementing Azure Resource Manager (ARM) templates to provision and deploy required resources on cloud.
• Implemented a CI/CD pipeline using Azure DevOps (VSTS, TFS) in both cloud and on-premises with GIT, MS Build, Docker, Maven along with Jenkins’s plugins. And deployed java and .net web application to Azure DevOps manage them using Repos - commit codes, manage commits, Test Plans to trigger unit tests.
• Once the unit test verified, we deployed those artifacts to App Service, using Azure Application Insight, collects health performance of the processes and applications.
• Worked in Optimizing Node.js web app and deployed by azure DevOps into Azure Container Registry (ACR) and Azure Container Registry (ACR), Kubernetes including automated development by authenticating new codes and deploying into staging or production environments.
• Worked in creating, Monitored and Restored Azure SQL database. Migrated Microsoft SQL server to Windows Azure SQL database and updating the connection strings.
• Worked on writing docker files, building docker images and creating theDockercontainers andDockerconsoles for managing the application lifecycle.Worked on various Docker components like Docker Engine, Docker Hub, Machine, Compose and Docker Registry.
• Focused on containerization and immutable infrastructure. Experienced in using Docker Swarm and deployed java spring boot applications. Deployed Docker Engines in Virtualized Platforms for containerization of multiple apps.
• Implemented IS2 self-service application for internal use to trigger the regression automation scripts, in sprint automation scripts, trigger defect integration, patch integration and deployment in release builds.
• Implemented cluster services using Docker and Kubernetes to manage local deployments in Kubernetes by building a self-hosted Kubernetes cluster using Terraform and Ansible and deploying application containers.
• Configured Kubernetes Replication controllers to allow multiple pods such as Jenkins Master server in multiple minions. Managed Kubernetes charts using Helm, managed Kubernetes manifest files and created reproducible builds of the Kubernetes application.
• Worked on setting up Rancher orchestrator to manage Kubernetes everywhere it runs, worked with rancher CLI.
• Extensively worked on Kubernetes for scheduling, deploying, and managing pods, replication controllers, deployments, labels, health checks and ingress by writing yaml files onto a node cluster using Helm Charts.
• Configured Kubernetes Services type load balancer and Cluster IP to expose UI based application and migrated cluster CNI from Flannel to Kube-router to support Kubernetes network policies.
• Configured Logstash to accept various inputs from Filebeat to filter different types of logs and using this Filebeat extensively for tracking and managing logs, so that all the application teams across the organization can access and monitor their application logs in dashboards.
• Configured and deployed GrayLog in AWS using cloud formation templates.
• Extensively used Ruby scripting on Chef Automation for creating cookbooks.
• Environment: Microsoft AZURE, Azure AD, Azure SQL, Azure Network, Kubernetes, Ansible, Jenkins, Docker, Terraform, Microsoft Azure Storage, dev SecOps, SonarQube, Groovy, Maven, Git, Gitlab, ELK, Splunk, Jira, Nexus, Tomcat, GitHub, Linux, Filebeat, Elastic search, Logstash, Kibana, Graylog, ElastAlert, Buildkite.

DevOps Engineer

Confidential, Wilmington, Delaware

Responsibilities:

• In Project I worked on AWS and Played a significant role as a part of an engineering team worked to design a new platform to host applicationson AWSand set up VPN tunnels from corporate network to VPC, also designed the Subnets, Routing and IAM policies inAWS.
• Worked on implementing infrastructure as code using Jenkins groovy pipelines that leverages Terraform for infrastructure orchestration, packer for image creation, Server spec for infrastructure testing of ami’s.
• Configured AWS application deployment infrastructure services like VPC, EC2, S3, RDS, Dynamo DB, Mongo DB, IAM, EBS, Route53, SNS, SES, SQS, CloudWatch, CloudTrail, Security Group, Auto Scaling Group ASG, and RDS using CloudFormation, Terraform templates.
• Worked on User admin groups, maintaining account and monitoring system performance using AWS Cloud Watch and Nagios. Worked on migrating applications from VM ware to AWS using snowball and VM import/export.
• Worked withAWSiam service to creating users & groups, defining roles and policies and Identity providers. and used those users to grant fine-grained access toAWSresources. Also, managed roles and permissions of users toAWSaccount through IAM.
• Implemented serverless applications on CloudFront, API gateway, AWS Lambda, SNS and created AWS Lambda functions to run scripts in response to events in Amazon DynamoDB table and S3 bucket to HTTP requests using Amazon API gateway.
• Worked with Setup Log Analysis AWS Logs to Elastic Search and Kibana and manage searches, dashboards, custom mapping, and automation of data.
• Expertise in Writing AWSTerraform templates for any automation requirements in AWSservices. Implemented multiple high-performance MongoDB replica sets on EC2 with robust reliability. Managed and supported AWS Security related issues, such IAM and S3 policies for user access.
• Utilized AWS CLI (Command Line Interface) to automate backups of ephemeral data-stores to S3 buckets, EBS and create nightly AMIs for mission critical production servers as backups.
• Automated deployments of web applications based on Node.js, Python, Ruby, Java, PHP using AWS Code Pipeline, EC2, Elastic Beanstalk, and Jenkins and secured by creating IAM roles and policies for services and users.
• Automated the implement process of VPCs, ELBs, security groups, EC2, RDS, Aurora, CloudWatch SQS queues, S3 buckets by using Terraform and used Terraform as a tool to manage/update the AWS infrastructure.
• Configured AWS Kubernetes (EKS) KOPS, with Terraform scripts to deploy microservices with CI/CD system and to scale up operations of pods, maintain services, load balancing, network policies, group Docker containers across different platform and managed entire package with Helm charts.
• Converting old legacy systems, such as payment, order process, order management, etc. into microservices platform by converting it into individual REST services.
• Written chef recipes for various applications and deploying them in AWS using Terraform and Written several Chef cookbooks and recipes to automate the installation of WebLogic domain and JDK installations.
• Used AWS Route53, to route the traffic between different availability zones. Deployed and supported Mem-cache/AWS Elastic Cache and then configured Elastic Load Balancing (ELB) for routing traffic between zones.
• Used EBS volumes management and snapshots for backups using script. Worked in configuring Elastic Bean Stalk for developers to quickly deploy applications for testing and pushing developed code for testing.
• Evaluated Kubernetes for Docker container orchestration. Managed Kubernetes using Helm charts. Created reproducible builds of the Kubernetes applications, templatize Kubernetes manifests, provide a set of configuration parameters to customize the deployment and Managed releases of Helm packages.
• Implemented ETL process to ingest analytical data stored in S3 into a Redshift data warehouse cluster using AWS Lambda Microservices. Configured and forwarded the data of the ELB Access logs & VPC flow logs to S3 buckets.
• In this project we used Splunk, Dynatrace and ELK tools as monitoring tool to verify the integrity and availability of all hardware, server resources, jobs, and processes.
• Environment: AWS, chef, Docker, Docker Swarm, Jenkins, Tetrate-Istio, Maven, Nexus, Git, Shell Scripting, Perl, Ruby, Java, Nagios, Apache Tomcat, RHEL, Web Logics, Apache Spark, Scala, Graylog.

System Administrator

Confidential

Responsibilities:

• Worked on Designing DevOps workflow for multiple applications by orchestrating Test, Build, Release and Deploy phases through various CI/CD pipelines using Git, Jenkins, Chef.
• Responsible for managing the releases to various environments such as QA, UAT, Staging, Production. Collaborated with the Development, Quality Assurance, Publishing, and other external teams for the release coordination. Hand on in all the production fix releases, weekly/monthly releases and rollbacks and other bug fixes and worked to make sure infrastructure readiness for all the time.
• Worked in configuration, installation, implementation, maintenance, and support for the Linux servers, RHEL, CentOS, Ubuntu, Solaris, Fedora.
• Worked on installations of operating system on multiple machines using Kick Start and Performed server updates, patching, upgrade, and package installations using RPM and YUM. Installation of SSH and configuration of keys bases authentication.
• Deployed Java applications to Application servers in an agile continuous integration environment and automated the whole process. Build scripts using MAVEN build tools in Jenkins to move from one environment to other environments.
• Worked on building end to end CI/CD Pipelines in Jenkins to retrieve code, compile, run unit test cases, and perform tests and push build artifacts to Nexus Repository and Deploy to orchestrate changes across servers. Implemented groovy file using shared libraries and implemented Jenkin files to automate the CI/CD process.
• AdministeredLinuxservers for several functions including Apache/Tomcat server, mail server and MySQL databases in both development and production.
• Wrote bash shell scripts for automation of daily tasks and involved in development of automation scripting to deploy some applications. Providing continuous improvement to agile software development teams by working with Jenkins under the CI/CD pipeline. Integrated Ant, Nexus, Jenkins, Confluence and JIRA and Used Git with Jenkins to integrate to automate the code checkout process.
• For monitoring tools such as Nagios and Splunk for general disk space usage and conduct systems performance monitoring and tuning.

Environment: Red hat Linux, Unix, Centos, Ubuntu, Solaris, Fedora, Veritas Volume, Manger, MySQL, Oracle, TCP/IP, Bash shell, NAGIOS, Python, Perl, LDAP.

Software Engineer

Confidential

Responsibilities:

• In this project I worked as software engineer, and I involved in SDLC lifecycle from end to end.
• Involved in Requirements gathering, Analysis, design phase, development, and testing phase of the Application.
• Participated in the application architecture, development tools for web solutions that fulfill the business requirements of the project.
• Involved in daily Scrum meetings, Sprint planning and estimation of the tasks for the user stories, participated in retrospective and presenting Demo at end of the sprint.
• Had good experience at Mapping the business needs to a data science solution and using machine learning and statistical modeling techniques to develop and evaluate algorithms to improve performance, quality of the application. experience as a Full Stack Java/J2EE developer in Software Analysis, Design, Development, Implementation and Testing on Application Development using SDLC with various methodologies like Waterfall,Agile/Scrum.
• Extensively worked on Core Java concepts like Collections, Multi-Threading, Synchronization and Exception Handling.
• Maintained and administered GIT source code repository and GitHub Enterprise.
• Implemented Maven as build tool on Java projects for the development of build artifacts on the source code and integrated them with third party tools like SonarQube, JFROG Artifactory.