SUMMARY

• DevOps professional with 7+ years of experience in the IT industry.
• Substantial experience leading teams, managing budgets, increasing revenue, identifying new opportunities and managing resources
• Extensive experience in setting up CI/CD pipelines using tools such as Jenkins, Maven, Docker, Nexus, Artifactory, Slack and Azure DevOps
• Extensive experience in distributed Agile and Scrum methodologies to develop best practices for software development and implementation.
• Strong hands - on experience in AWS CloudFormation
• Strong experience in migrating applications to both AWS and Azure cloud platforms.
• Strong experience in working with version control systems such as Git, GitHub, Bitbucket, Azure Git.
• Experience working with developing scripts and automation tools used for building, integrating and deploying software releases to multiple environments.
• Strong hands-on experience in scripting languages such as Groovy, JSON, YAML, Ruby, Shell scripting.
• Strong experience in code quality and code coverage tools such as SonarQube and JUnit.
• Good knowledge of virtualization andcontainertechnology like Docker.
• Experience in creating Docker files and working with Docker containers.
• Have good knowledge in setting up Kubernetes clusters using Amazon EKS.
• Strong hands-on experience in configuration management tools such as Terraform, Ansible and Puppet.
• Strong knowledge on practicing TDD, automating Junit tests using Maven in Jenkins.
• Strong knowledge in Tomcat, WebLogic servers on different Operating Systems like Windows, Linux VMware, UNIX and Solaris platforms.
• Cloud orchestration software tools designed to manage interconnections and interactions between disparate systems in complex cloud environments.
• Participated in the release cycle of the product which involved environments like Development, QA, UAT and Production.
• Strong Hands-on experience in User access management in AWS Identity and Access Management
• Worked with project documentation and documented other application related issues, bugs on internal wiki website.
• Strong experience implementing Oracle Cloud and R12 versions of Oracle application, documenting, gathering business requirements, designing and reviewing business processes and process flows, testing, training and identifying gaps in the Oracle application
• In-depth knowledge of Oracle core financial, procurement and Supply Chain Management modules for public and private sectors as well as global leading industries
• Delivered Oracle cloud security, SOX and Data Control assurance.
• A highly motivated, energetic individual, a team player with excellent communication and inter-personal skills.

TECHNICAL SKILLS

Cloud platforms: AWS, Azure, Oracle

Framework/DevOps tools: JIRA, SonarQube, Nexus, Jenkins, Slack, Azure DevOps

Build Tools: Ant, Maven, MS Build

SCMs: SVN, Git, GitHub, Bitbucket, GitLab, Azure Repos

IAC Tools: Puppet, Ansible, Terraform

Containers/Orchestration: Docker, Kubernetes

Application/Web Servers: Tomcat, WebLogic 9.x/10.x/12c, Apache 2.x/1.3.x, JBoss 7.1

Operating Systems: HP-UX, Solaris 10, Ubuntu 16.0.4, Red Hat Linux, Windows

Databases: Oracle, SQL Server, MySQL, PostgreSQL

Programming Languages: Java

Scripting & Other Tools: Groovy, UNIX Shell Scripts (Ksh, Bash), Git Bash, Putty, iTerm

Enterprise Applications: Oracle Financial Cloud, Oracle Identity Manager, Oracle GRC, Oracle EBS Financials R12, SAP FICO, IBM Maximo Asset Management, and SABRIX

Oracle Modules: General Ledger, Oracle Fixed Assets, Account Payables, Purchasing, Account Receivables, Cash Management, Subledger Accounting, Oracle GRC, Oracle IDM, XML Publisher, and System Administration

Software & Tools: DataLoad, SQL*PLUS, SQL LOADER, MS Word, Visio, PowerPoint, Excel, Project and Publisher.

PROFESSIONAL EXPERIENCE

Confidential, NJ

DevOps / AWS Engineer

Responsibilities:

• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto scaling groups, Optimized volumes and EC2 instances
• Created S3 buckets in the AWS environment to store files, sometimes which are required to serve static content for a web application.
• Provide highly durable & available data by using S3 data store, versioning, lifecycle policies, & create AMIs for mission critical production servers for backup.
• Deploying AWS stack through CloudFormation templates
• Deployed configuration management and Provisioning to AWS using Terraform
• Developed Chef Recipes to configure, deploy and maintain software components of the existing infrastructure.
• Used existing cookbooks from Chef Marketplace and customizing the recipes with respect to each VM.
• Managed local deployments inKubernetes, creating local cluster and deploying application containers. Created private cloud usingKubernetesthat supports DEV, TEST, and PROD environments.
• Configured and maintainedJenkinsto implement the CI process and integrated the tool withMavento schedule the builds. Took the sole responsibility to maintain the CI Jenkins server.
• Collaborating with development team for creating Docker swarm containers for each micro-service and installed all required dependencies for each container.
• Worked with Application owners to evaluate application compatibility with cloud
• Worked with Jenkins under the CI/CD pipeline providing continuous improvement to agile software development team
• Installed Docker and created Docket file to create containers and integrated Docker with Jenkins to do build on Docker Containers and to achieve continuous delivery goal on high scalable environment
• Responsible for architecting, designing, implementing and supporting of cloud-based infrastructure and its solutions
• Designed and implemented Serverless application using AWS Lambda and API Gateway
• Creating multiple VPC’s and public, private subnets as per requirement and distributing them as groups into various availability zones of the VPC.
• Created NAT gateways and instances to allow communication from the private instances to the internet through bastion hosts.
• Used security groups, network ACL’s, internet gateways and route tables to ensure a secure zone for organization in AWS public cloud.
• Customizing Community AMIs, Register New AMIs & De-register AMIs, Bundle Instances - EBS & Instance store based, Snapshot of EBS, deploying instances behind Elastic Load Balancer, configuring Auto Scaling, Monitoring EC2 using CloudWatch Alarms,
• Created snapshots to take backups of the volumes and images to store launch configurations of the EC2 instances.
• Written Shell scripts to apply the Integration label to all the files which needs manual labelling of files
• Worked in writing Templates for AWS infrastructure as a code using Terraform and Cloud Formation to build staging and production environments. Defined Terraform modules such as Compute, Network, Operations, and Users to reuse in different environments
• Implementing and Managing ETL solutions and automating operational processes.
• Wrote various data normalization jobs for new data ingested into Redshift
• Advanced knowledge on Confidential Redshift and MPP database concepts.
• Migrated on premise database structure to Confidential Redshift data warehouse with AWS Glue.
• Created continuous integration delivery pipelines using AWS Code Pipeline and Code Build.

Environment: AWS services (EC2, S3, EBS, AMI, Autoscaling Groups, Elastic Load Balancer, SQS, Cloud Formation Templates, Lambda, API Gateway, Cloud Watch, IAM, VPC, RDS), Git, Jenkins.

Confidential, PA

DevOps Engineer

Responsibilities:

• Worked with Application owners to evaluate application compatibility with cloud
• After Migration, worked with Application owners and stakeholders for access issues, firewall rules issues and other related issues covered as per SOW.
• Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto scaling groups, Optimized volumes and EC2 instances
• Responsible for Client’s middleware environments in Cloud Platform, Application, & Data Layer Support
• Created S3 buckets in the AWS environment to store files, sometimes which are required to serve static content for a web application.
• Provide highly durable & available data by using S3 data store, versioning, lifecycle policies, & create AMIs for mission critical production servers for backup.
• Deploying AWS stack through CloudFormation templates
• Deployed configuration management and Provisioning to AWS using Terraform
• Developed Chef Recipes to configure, deploy and maintain software components of the existing infrastructure.
• Used existing cookbooks from Chef Marketplace and customizing the recipes with respect to each VM.
• Worked with Application owners to evaluate application compatibility with cloud
• Worked with Jenkins under the CI/CD pipeline providing continuous improvement to agile software development team.
• Installed Docker and created Docket file to create containers and integrated Docker with Jenkins to do build on Docker Containers and to achieve continuous delivery goal on high scalable environment.
• Responsible for architecting, designing, implementing and supporting of cloud-based infrastructure and its solutions.
• Designed and implemented Serverless application using AWS Lambda and API Gateway
• Creating multiple VPC’s and public, private subnets as per requirement and distributing them as groups into various availability zones of the VPC.
• Created NAT gateways and instances to allow communication from the private instances to the internet through bastion hosts.
• Used security groups, network ACL’s, internet gateways and route tables to ensure a secure zone for organization in AWS public cloud.
• Customizing Community AMIs, Register New AMIs & De-register AMIs, Bundle Instances - EBS & Instance store based, Snapshot of EBS, deploying instances behind Elastic Load Balancer, configuring Auto Scaling, Monitoring EC2 using CloudWatch Alarms,
• Created snapshots to take backups of the volumes and images to store launch configurations of the EC2 instances.
• Implementing and Managing ETL solutions and automating operational processes.
• Wrote various data normalization jobs for new data ingested into Redshift
• Advanced knowledge on Confidential Redshift and MPP database concepts.
• Migrated on premise database structure to Confidential Redshift data warehouse with AWS Glue.
• Created continuous integration delivery pipelines using AWS CodePipeline and CodeBuild

Environment: AWS services (EC2, S3, Autoscaling Groups, Elastic Load Balancer, SQS, Cloud Formation Templates, Cloud Watch, IAM) Git, Jenkins.

Confidential, Enumclaw, WA

DevOps Engineer

Responsibilities:

• Setup repositories on Azure Git and GitHub, merging code from develop branch to master branch and make it ready for deployment.
• Migrated legacy applications to Microsoft Azure Cloud PaaS by setting up CI/CD pipelines on Azure DevOps
• Used Terraform scripts to Automate Instances for Manual Instances that were launched before.
• Extensively involved in infrastructure as code, execution plans, resource graph and change automation using Terraform.
• Created Docker file for each micro service's and changed some of the tomcat configuration file which are required to deploy Java based application to the Docker container.
• Developed environments of different applications on AWS by provisioning on EC2 instances using Docker, Bash and Terraform.
• Created WebApps (PaaS solutions) on Azure portal for deploying web applications using Azure DevOps pipelines.
• Created nightly builds with integration to code quality tools such as SonarQube, Veracode.
• Created quality gates in SonarQube dashboard and enforced in the pipelines to fail the builds when conditions were not met.
• Built and deployed Docker containers to break up monolithic app into micro services, improving developer workflow, increasing scalability, and optimizing speed.
• Implemented Release management workflow for QA, UAT and Prod environments.
• Prepared and presented SCM best practices for implementing continuous integration for the team
• Set up CI/CD pipelines for Micro services and integrated tools such as Maven, Bitbucket, SonarQube, Nexus, Docker, Slack for providing immediate feedback to DEV teams after code check-in
• Used Python for scripting purpose in CI/CD automation and creating Lambda functions to validate services in up in public cloud
• Managed local deployments inKubernetes, creating local cluster and deploying application containers. Created private cloud usingKubernetesthat supports DEV, TEST, and PROD environments.
• Automated infrastructure provisioning on AWS using Terraform and Ansible.
• Created daily builds with integration to code quality tools such as SonarQube, Veracode.
• Integrated GitHub web hooks into Jenkins to automate the code check-out process.
• Implemented the setup for Master slave architecture to improve the Performance of Jenkins

Environment: AWS services (EC2, S3, and Auto scaling Groups, Elastic Load Balancer, SQS, and Cloud Formation Templates, Cloud Watch, IAM), Git, Jenkins, Terraform, Ansible, SonarQube, Nexas, Docker.

Confidential

DevOps Engineer

Responsibilities:

• Provide highly durable & available data by using S3 data store, versioning, lifecycle policies, & create AMIs for mission critical production servers for backup.
• Created and configured elastic load balancers and auto scaling groups to distribute the traffic and to have a cost efficient, fault tolerant and highly available environment.
• Utilize EBS to store persistent data & mitigate failure by using snapshots.
• Rolled out Chef to all servers and used the chef node database to drive host configuration, DNS zones, monitoring.
• Using web-frontend altered configuration data in chef's node database.
• Monitored Linux server for CPU Utilization, Memory Utilization, & disk Utilization for performance monitoring.
• Managed Amazon Web Services like EC2, EBS, ELB, Auto-Scaling, AMI, IAM through AWS Console and API Integration with Puppet Code
• Setting up the Build and Deployment automation for Terraform scripts using Jenkins
• Deployed configuration management and Provisioning to AWS using Terraform
• Created Security Groups, configuring Inbound /Outbound rules, creating and importing Key Pairs.
• Configured S3 buckets with various life cycle policies to archive the infrequently accessed data to storage classes based on requirement.
• Configured Internal and external Domain Names using Route 53 by using Simple, Weighted and Failover Routing policies.
• In charge of creating different IAM users to system administrators and developers by creating custom policies
• Implemented highly available systems with multi region & Auto scaling.
• Designing Web Server High Availability & Load Balancing
• Utilize Amazon Glue to build Data catalog and invoke with Aurora DB
• Utilized Amazon Athena to analyze the data stored in S3 objects.
• Migrated On-premise data using AWS DMS Service to Amazon Redshift.
• Worked on CloudFormation and Elastic Beanstalk for continuous integration and for End-to-End automation for all build and deployments.

Environment: AWS services, Git, Jenkins, Terraform, Chef, Puppet.