SUMMARY

• 5+ years in the field of DevOps/Cloud development. Fortified in Automation, Scripting and Containerization.
• Deployed various Cloud technologies that enhanced my competence in Cloud and troubleshooting areas comprising AWS, Cloud, Build/Release Engineering, Continuous Integration, Configuration Management, and Containerization following Agile methodology.

TECHNICAL SKILLS

Platforms: UNIX, Linux (Red Hat 6.x, 7.x), CentOS7, Ubuntu, Windows 10/8/7/Vista/XP

Version Control Tools: GIT, GitLab

CI/CD Tools: Jenkins,Bamboo Ansible, Chef and puppet

Build Tools: Maven, Gradle, NPM

Programming Languages: C, Shell, Json, YAML, Python, XML, HTML, CSS, Java Script

Container Platforms: Docker, Kubernetes, ECS, GCS, GKE, EKS

Monitoring Tools: Nagios,Zabbix,CloudWatch,Grafana,NewRelic,Flexera,Splunk

Integration Automation tools: Prometheus, Sumologic, SVN, Cloud Bees

Cloud Platform: AWS, Nutanix, Azure,Google c,Terraform

Testing tools: Selenium,Junit,Jmeter

Bug Tracking: JIRA, Remidy, Sonarqube

Artifactories: Nexus, Jfrog Artifactory

Web/Application: JBOSS, Apache Tomcat, Nginx, Apache HTTP server

Network Protocols: TCP/IP, DNS, SNMP, SMTP, Ethernet, NFS, FTP

Database Systems: My SQL, Oracle DB, Postgress SQL,Cassandra DB,Mongo DB

Web Services: REST, Post Man

PROFESSIONAL EXPERIENCE

Confidential, Irving, TX

AWS/DevOps Engineer

Responsibilities:

• Strong knowledge in all phases of SDLC to deliver results in the first time right appraoch. Also experienced in test Driven Development(TDD) and Agile Development Strategies.
• Created highly available and scalable infrastructure in AWS cloud by using various AWS services like EC2, Virtual Private Cloud (VPC), IAM, S3 Bucket, Route53,Glue,CloudWatch, EBS, EFS, AMI, MFA, ELB, Auto - scaling, Security Groups.
• Hands-on Experience of using AWS Glue which is basically a serverless data integration service utilized to manage ETL (extract,transform,load) to clean and store the data effectively.Utilized AWS Glue data Catalog to integrate with Amazon EMR and Amazon RDS and also used AWS Flexible Scheduler to handle dependency resolution and job monitoring.
• Configured AWS EC2 Instances using AMIs and launched instances according to the requirements of specific Applications.
• Solid knowledge in implementing AWS Custom Configuration rules utilizing python scripting language to write the customised lambda function to by following lambda resource based policy
• Proficient in using Standard Fusion tool for cloud security maintainence and risk complinace and it also helped in solving data security challenges.
• Involved in front-end UI desinging of the application using React.js and AngularJS in order to devlop a dynamic web application by calling various API and react components and also passed various props using react.
• Integrated Sonar GitHub plugin which will support to analyze the code before committing it to GIT hub at the developer stage only and gives the report to the developer end and in turn helps to reduce the error build files.
• Involved in the creation of CI/CD pipeline, upstream/downstream projects, multi-branch pipelines with the help of Jenkins, Maven repositories were set-up to automate everyday builds.later on integrated SonarQube with Jenkins to get the better quality of the Source code to automate everyday builds, testing and deployed in antifactory repository like Nexus.
• Utilized Kubernetes Orchestration tool for autoscaling, load balancing and also grouping containers into logical units for various kind of microservices.
• Expertise on designing project workflows/pipelines using Jenkins as CI tool and building Jenkins jobs in order to create AWS infrastructure from GitHub repository containing Terraform code.
• Worked in an IaaC environment called Terraform to manage application infrastructures such as storage and networking and also wrote advanced plugins to support new functionality in Terraform.
• Proficient in writing Jenkins Pipeline Groovy Scripts required for Continuous Integration and build workflows and used Jenkins for uploading Artifacts into Nexus Repository.
• Utilized Ansible as configuration management tool to automate repetitive tasks, deploy applications and manage changes in the infrastructure and also automate software update and Verify functionality.
• Authored Ansible playbooks for configuring instances and create security baselines, roles, templates for more reliable deployments and automated cloud deployments using AWS CloudFormation templates and Ansible.
• Creating Alerts and continuously monitoring AWS infrastructure using CloudWatch Events and CloudTrail Logs.
• CombinedSplunkEnterprise with Dynatrace and Grafana to manage and monitor the performance of the application, managing Splunk Forwarder on centralized deployment server.

Confidential, Richardson, TX

AWS/DevOps Engineer

Responsibilities:

• Worked with project development teams following Agile & Waterfall methodologies that design source code branching, release life cycles and CI/CD pipelines based on pace and project deliverables.
• Extensively worked on Amazon web services (AWS) cloud instances. Create EC2 instances, generated key pairs, dedicated hosts, volumes, Load balancers and Security Groups.
• Utilized AWS Kinesis client library and made them to run on Amazon EC2 instances and read the data using Pyspark and also sent the processed data to dashboardsand also utilized them to generate various alerts.
• Created S3 buckets and modifying it to use as a Storage and file system creations and involved in installation of EFS in AWS to create common storages for different teams.
• Deployed Lambda functions for instance creation alerts and created notification in Slack.
• Utilized SHIFT Translator to automatically translate all hadoop code such as Hive jto basically target platform syntax.
• Utilized AWS lambda functions to look up or post data to sources outside the amazon connect and also used amazon connect to engage with the customers and also to capture case data from the chatbots.
• Created roles and groups for users and resources using AWS Identity Access Management (IAM).
• Designed AWS Cloud Formation templates using JSON, YAML to create customized VPC Subnets, NAT to ensure successful deployment of Web applications and databases.
• Created Kubernetes cluster by using AWS components such as EC2, compute engines, VPN, VPC Security Groups.
• Worked on installation, configuration and management of Docker containers, Docker Images,and docker registry.Utilized several Docker best practices to create images from clear, readable maintainable Docker files and those images were uploaded to Docker hub.
• Docker Swarm was utilized to design Infrastructure for clustering and scheduling docker containers in between nodes, Proficient in using major components of Docker like Docker Daemon, Hub, Images, Registry.
• Manage re-architecture of Jenkins and integration with Confluence for release management and documentation assets. build times were keenly reduced by re-designing Maven based system.
• Integrated Automated Build with Deployment Pipeline.installed Chef Server and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).
• Utilized Amazon Dynamo DB as backend to run applications ata a high performance and at any particular scale and also ensured low latency.It was also used to handle high-traffic and supported to handle millions of queries per second.
• Utilized Splunk APM for log aggregation and analysis on various application servers and colloborating the Splunkwith Single Sign-On authentication and Service now ticketing tool.

Confidential, Austin, TX

DevOps Engineer

Responsibilities:

• Involved in the creation of Azure Resource Manager (ARM) templates and deployed it to Azure and customized build processing PowerShell and also created Azure Backup vault inorder to protect respective VMs to take the VM level backups.
• Developed and deployed the resources using Azure Resource Manager (ARM)Templates and provided support infrastructure for teams using VSTS. Azure Automation Runbooks were used to Build out VSTS Infrastructure of the application.
• Worked on Serverless services, created and configured HTTP Triggers in the Azure Functions with application insights for monitoring and performing load testing on the applications using the Visual Studio Team Services (VSTS) also called as Azure DevOps Services.
• Deployed all the significant Azure components like Azure Virtual Networks, Azure Application Gateway, Azure Storage and Affinity groups and designed,Monitored and restored Azure SQL database. Migrated Microsoft SQL server to Windows AzureSQL database and updated the connection strings.
• Proficiency in working with Docker container snapshots, attaching it to a running container, managingcontainers, directory structures and removing Docker images.
• Configured Docker container for branching purposes and Implemented Docker automation solution forContinuous Integration / Continuous Delivery model.
• Involved in continuous improvement to agile software development teams by working with Jenkins underthe CI/CD pipeline. Integrated Ant, Nexus, Jenkins, SVN, Confluence and JIRA.
• Worked on Configuration Management tools like Ansible for transferring and running the modules withthe help of SSH based systems and used Ansible Workstation to maintain and monitor Ansible Playbooks responsible for deployingFramework and other cloud tools.
• Utilized Ansible commands for Migrating servers with the required configurations changes and also for testing and deploying them on various machines.
• Utilized Flex Database to schedule monitor visits,CRA performance and also setting up online invoicing and different site budgets for clinical trial management system.
• Expertise in using troubleshooting network services and protocols such as TCP/IP, DNS, AD, LDAP, SSH, FTP, NFS, NIS, AUTOFS, SMTP, SSL, HTTP, IIS and Apache.
• Designed & manage JIRA/Confluence queries, dashboards for metrics reporting for different teams.
• BuildSplunkdashboards utilizing XML and Advanced XML as well as Created Scheduled Alerts for Application Teams for Real Time Monitoring.