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Aws Admin Resume

Salt Lake City, UT

SUMMARY

  • Over 11 years of Software Design, Development, Implementation and providing cloud solutions which includes Configuration Management, Continuous Integration and Continuous Deployment (CI/CD), Release Management and to implement Infrastructure as a Service (IAAS). Significant experience in DevOps, AWS, Jenkins, Docker, Ansible, Maven, Git, and more.

TECHNICAL SKILLS

Technologies/Tools: AWS, Microsoft Azure, Ant, Maven, Hudson, Bamboo, Code Deploy, PowerShell, Python, PHP, Bash, Chef, Puppet, Ansible, Docker, AWS OPS Works, VMware, Vagrant, Subversion, SVN, Git, GitHub, Glue, Perforce, Code Commit, Apache, Tomcat, WebSphere, Nix, Jenkins, HTML, CSS, JavaScript, jQuery, Ruby, RedShift, Bootstrap, XML, JSON, XSD, XSL, XPath, Jira, Remedy, Microsoft Project, Visio, Agile, Scrum

Computer Systems: Windows, Linux, RedHat, Ubuntu

Databases: SQL, DB2, MySQL, Oracle. IBM DB2/UDB, Teradata, SQL Server

PROFESSIONAL EXPERIENCE

Confidential, Salt Lake City, UT

AWS Admin

Responsibilities:

  • Worked in building ETL workflows to transform data into structures optimized for reporting and self - service analytics
  • Setup the proper SDLC methods to assure quality data deliverables including Audit-Balance and Control, code versioning and deployment, etc.
  • Use SQL extensively to support developers and data analytics
  • Own Continuous Integration, Deployment, and Infrastructure implementation on AWS
  • Architect and implement AWS infrastructure for scalability and availability to meet all SLA
  • Architect and implement security scheme for both internal and customer access of the systems
  • Architecture and design - propose and implements technical solutions, ensures their integrity, and that the solutions can be built, implemented and maintained within timelines/budgets
  • Used Amazon GuardDuty to scan for threats and worked with AWS Security Hub to reconcile and remediate potential threats.
  • Experience working with Cognos or other data visualization platforms
  • Work with product/delivery teams to estimate effort involved in projects and new capabilities
  • Co-work with other data engineers on projects
  • Worked with AWS Inspector to automate security assessments and help ensure compliance across projects.
  • Utilized AWS Systems Manager to view and control AWS systems and automate tasks across projects.
  • Manage relationships in a manner acceptable to others and to the organization; adhere consistently with all organizational policies related to our respectful workplace
  • Demonstrate a consistent commitment to field-focused service by prioritizing field-based requests, responding quickly and favorably to field-based feedback, by minimizing tasks, and proactively seeking ways to help store teams focus on customer service as productively as possible
  • Implemented AWS solutions using EC2, S3, RDS, EBS, CLI, Elastic Load Balancer, and Auto-scaling groups, Optimized volumes and EC2 instances.
  • Work collaboratively with others within and outside of his or her function to achieve goals, simply processes, reduce costs, prevent loss, and to ensure that work is completed safely, accurately, and on time
  • Responsible for adhering consistently with all employment policies as stated in the employee handbook provided or as provided by his or her supervisor
  • Created EC2 instances in VPC and installed applications. Expertise in Identity Access Management. Created users, groups and assigned roles based on their duties.
  • Used IAM to create new accounts, roles and groups.
  • Model the high level of customer service expected of all GameStop associates including, but not limited to, responding to voice mails and emails within organizationally defined timeframes, completing projects as committed, responding to others’ feedback appropriately, and making optimal use of organizationally limited resources by offering assistance to other functional teams when appropriate
  • Model team commitment by adhering to the team's expectations and guidelines; fulfilling team responsibilities; and demonstrating personal commitment to the team by being cooperative, collaborative, and flexible
  • Model the behaviors expected of all GameStop leaders including, but not limited to, a drive for results, with a demonstrable bias for action; high levels of emotional intelligence, maturity, and professionalism; giving, receiving and responding to feedback effectively; a consistently high service orientation; and demonstrable commitments to diversity, inclusion, a respectful workplace, and integrity
  • Drive outstanding business results through traditional management functions including, but not limited to, sourcing and selecting talent, coaching and development, workforce and project scheduling, performance assessment, and general talent planning
  • Create a productive, collaborative work environment by developing a common vision, setting clear objectives, facilitating teamwork, recognizing and rewarding outstanding performance, encouraging risk tolerance, and maintaining open communications.
  • Build organizational capability through continuous improvement activities; originate action to improve existing conditions and processes; identify improvement opportunities, generate ideas, and implement solutions
  • Identify, track, and report meaningful performance/progress metrics, and support the team with achieving performance goals
  • Actively build the capability of others through relevant, timely balanced feedback; coaching and teaching, encouraging mentoring relationships; and using recognition and rewards to reinforce desirable behaviors.

Environment: GIT, Python, AWS, EC2, S3, EMR, Lambda, Putty, Confluence.

Confidential, Salt Lake City, UT

AWS Cloud Engineer

Responsibilities:

  • Created the automated build and deployment process for application, re-engineering setup for better user experience, and leading up to building a continuous integration system for all our products.
  • Implemented AWS solutions using EC2, S3, RDS, EBS, CLI, Elastic Load Balancer, and Auto-scaling groups, Optimized volumes and EC2 instances.
  • Created Multi-Availability Zone VPC instances.
  • Used IAM to create new accounts, roles and groups and polices.
  • Configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.
  • Configured Elastic Load Balancers (ELB) with EC2 Auto-scaling groups.
  • Created monitors, alarms and notifications for EC2 hosts using CloudWatch.
  • Installed, Configured and Administered Jenkins Continuous Integration Tool.
  • Using Jenkins AWS CodeDeploy plugin to deploy to AWS.
  • Used Amazon GuardDuty to scan for threats and worked with AWS Security Hub to reconcile and remediate potential threats.
  • Used AWS Config to assess cloud resources, perform audits, and evaluate current configurations for troubleshooting.
  • Responsible for code build, release and configuration on Amazon EC2.
  • Perform Deployment of Release to various QA & UAT in Linux environments.
  • Troubleshoot the build issue during the Jenkins build process.
  • Developed build and deployment scripts using ANT and MAVEN as build tools in Jenkins to move from one environment to other environments.
  • Worked with AWS Inspector to automate security assessments and help ensure compliance across projects.
  • Utilized AWS Systems Manager to view and control AWS systems and automate tasks across projects.
  • Performed Branching, Tagging, Release Activities on Version Control Tools: SVN, GIT.
  • Worked on Managing the Private Cloud Environment using Chef.
  • Managed Chef Cookbooks to automate system operations.
  • AWS Cloud management using Chef Automation.
  • Automated the cloud deployments using chef, python and AWS Cloud Formation Templates.
  • Developed Perl and shell scripts for automation of the build and release process, developed Custom Scripts to monitor repositories, Server storage.
  • Automated the cloud deployments using chef, python (boto & fabric) and AWS Cloud Formation Templates.
  • Used Maven as build tool on Java projects for the development of build artifacts on the source code.
  • Implemented rapid provisioning and life cycle management for Ubuntu Linux using Amazon EC2, Chef, and custom Ruby/Bash scripts.
  • Deployed the Java applications into web application servers like JBoss.
  • Performed and deployed Builds for various Environments like QA, Integration, UAT and Productions Environments.
  • Worked on the cloud-based diagramming software called Gliffy for creating different types of design documents required for the continuous integration process.
  • Worked on configuring the Jenkins to use MetaCase Software to build Java code and also to do the whole C.I process on the java code generated by MetaCase.
  • Extensively worked on Hudson and Jenkins for continuous integration and for End-to-End automation for all Build and deployments.
  • Experience in Implementation and administration of Continuous Integration process using Jenkins.
  • Troubleshoot and resolved Build failures due to infrastructure issues reduced by 95% stabilizing the build process. Setup and executed process to code review system effectively.
  • Responsible for defining branching & merging strategy, checkin policies, improving code quality, automated Gated Checkins, defining backup and archival plans.
  • Troubleshoot Build and Deployment Issues, with little downtime.
  • Organized and Coordinated Product Releases, work closely with product development, QA, Support across global locations to ensure successful releases.
  • Documented release metrics, software configuration process. Used Maven scripts to build the source code. Supported and helped to create Dynamic Views and Snapshot views for end users.

Environment: GIT, Jenkins, Python, Puppet, Maven, AWS, EC2, WebSphere, Ant, Putty, Confluence, SOA, Ansible, Dockers.

Confidential - Michigan

AWS Cloud Engineer

Responsibilities:

  • Member of the Technical Design team, Build and Release Module for Development of new products.
  • Worked for DevOps Platform team responsible for specialization areas related to Chef for Cloud Automation.
  • Technical leader to align processes and tools, such as branching, source control structure, dependency management, Linux\Windows hybrid build infrastructure, code review, and check-in policies, that are developed and instrumented by DevOps teams across projects globally.
  • Managed Ubuntu Linux and Windows virtual servers on AWS EC2 using Puppet.
  • Experienced with working on Puppet Master and Puppet Agents. Defined Puppet Master and Puppet Agents to manage and configure nodes.
  • Designed and deployed AWS solutions using E2C, S3, RDS, CLI, EBS, Elastic Load Balancer, Auto scaling groups, Opsworks.
  • Used AWS Config to assess cloud resources, perform audits, and evaluate current configurations for troubleshooting.
  • Used Amazon GuardDuty to scan for threats and worked with AWS Security Hub to reconcile and remediate potential threats.
  • Utilized AWS Systems Manager to view and control AWS systems and automate tasks across projects.
  • Optimized volumes and EC2 instances & Created multi AZ VPC instances.
  • Used IAM to create new accounts, roles and groups.
  • Configured S3 versioning and lifecycle policies to and backup files and archive files in Glacier.
  • Deployed cloud stack using AWS OpWorks.
  • Worked with AWS Inspector to automate security assessments and help ensure compliance across projects.
  • Configured Elastic Load Balancers with EC2 Autoscaling groups.
  • Configured and monitored distributed and multi-platform servers using Nagios.
  • Supported 2000+ AWS Cloud instance’s and also familiar with Amazon Cloud command line management.
  • Worked on User administration setup, maintaining account, Monitor system performance using Nagios and Tivoli.
  • Encrypted EBS volumes via KMS service.
  • Created monitors, alarms and notifications for EC2 hosts using Cloudwatch.
  • Set up Elasticache using memcached.
  • Migrated applications to the AWS cloud.
  • Provided stable build environments for product development.
  • Actively involved in architecture of DevOps platform and cloud solutions.
  • Developed installer scripts using Ant, Python, UNIX for various products to be hosted on Application Servers.
  • Used chef for server provisioning and infrastructure automation in different environments.
  • Set up CI (Continuous Integration) for major releases in Jenkins and TeamCity.
  • Integration of Automated Build with Deployment Pipeline. Currently installed Chef Server and clients to pick up the Build from Jenkins repository and deploy in target environments (Integration, QA, and Production).
  • Implemented and building tools such as Ant/Maven in order to automate and enhance the overall operational environment.
  • Worked on Cloud automation using AWS Cloud Formation templates.
  • Implemented Chef Recipes for Deployment on build on internal Data Centre Servers. Also re-used and modified same Chef Recipes to create a Deployment directly into Amazon EC2 instances.
  • Implemented scheduled downtime for non-prod servers for optimizing AWS pricing.
  • Integrated various provisioning and monitoring modules into a single platform using Jenkins/Hudson CI tools.
  • Maintaining a farm of EC2 instances, ELB’s and RDS.
  • Troubleshoot issues along the CI/CD pipelines.
  • Evaluated testing of Chef Recipes - Concept of Test Driven Development for Infrastructure as a Code.
  • Implemented Chef Cookbooks for OS component configuration to keep AWS server’s template minimal.
  • Written Chef Cookbooks for various DB configurations to modularize and optimize end product configuration.
  • Developed Custom Scripts to monitor repositories, Server storage.
  • Managed central repositories: Implemented Atlassian Stash along with GIT to host GIT central repositories for source code across products, facilitate code reviews and login audits for Security Compliance.
  • Automated deployment of builds to different environments using Jenkins/Hudson CI tools.
  • Designed and implemented the backup strategy for all the critical systems such as build machines, bug tracking tools, central repositories etc.
  • Worked on administering the METACASE client-server architecture domain specific modeling software.
  • Documented all build and release process related items. Level one support for all the build and deploy issues encounter during the build process.

Environment: GIT, Jenkins, Python, Puppet, Maven, AWS, EC2, WebSphere, Ant, Putty, Confluence, SOA, Ansible, Dockers.

Confidential

DevOps Engineer

Responsibilities:

  • CM and Release Management Processes, Policies and Procedures.
  • Hands-on development experience and a strong passion for the LAMP (Linux, Apache, and MySQL& PHP) development stack.
  • Created EC2 instances in AWS. Also worked with Aws concepts like IAM, S3, and Cloud watch. Used Chef for deploying applications and on experience with Ruby.
  • Involved in migration activities of Java scripts and Database scripts from Oracle, MS SQL Server and MY SQL into different environments like Development, QA.
  • Used AWS Config to assess cloud resources, perform audits, and evaluate current configurations for troubleshooting.
  • Used Amazon GuardDuty to scan for threats and worked with AWS Security Hub to reconcile and remediate potential threats.
  • Build, manage, and continuously improved the build infrastructure for global software development.
  • Participating in design, code, and test inspections throughout the life cycle to identify issues/defects; participate in other meetings.
  • Implemented AWS solutions using EC2, S3, RDS, EBS, Elastic Load Balancer, and Auto-scaling groups, Optimized volumes and EC2 instances.
  • Worked with AWS Inspector to automate security assessments and help ensure compliance across projects.
  • Utilized AWS Systems Manager to view and control AWS systems and automate tasks across projects.
  • Familiar with Git hub admin tasks like creating users, providing access to them and maintained source repositories. Managed Maven project.
  • Experience with IT automation tools like Chef, Puppet.
  • Developed and implemented an agile SDLC and refinement of the Software Configuration Management (SCM) infrastructure.
  • Worked in development, testing, and production environment using SQL, PL/SQL procedure, python, Ruby, PowerShell and shell scripts and managed to host the servers like Tomcat, apache and NGINX.
  • Created EC2 instances in VPC and installed applications. Expertise in Identity Access Management. Created users, groups and assigned roles based on their duties.
  • Maintained good support for development team from Intermediate to advanced level in ASP.NET MVC and ASP.NET Web API.
  • Managed Nexus repository for the current project created a new repository and provisioned it. Have hands on experience with Bitbucket server.
  • Provided the assistance for the smooth phase of Release for the Emergency and Expedite Releases by getting the Director Level Approval and coordinating with different teams.
  • Configured Workflows created new Jobs and modified existing projects to automate.
  • Experienced in the Design/Architecture of AWS and hybrid cloud solutions.
  • Scheduled the Linux Cron jobs and Jenkins jobs for build automation.
  • Configuration Management and source code repository management using tools like GIT, Subversion (SVN), Clear Case JIRA and CI tools like Jenkins.

Environment: WebSphere, Perl Scripts, Shell Scripts, XML, Ant, Chef, Maven, Tortoise SVN, JIRA, Ruby, Jenkins, Java/J2EE, Oracle, UNIX.

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