Koffivi Gaglo

• Experienced in migrating applications from on-prem to AWS Cloud
• Participated with the dev team as well as architects’ team to identify necessary AWS resources and automate their provisioning
• Assisted in migrating from WIN 7 to WIN 10, part of the Workspace 2020 project Deploying applications on end users VM’s
• Run a post-deployment script, test applications post-install, and troubleshoot.
• Installed and maintained applications for end-users using VMware tools.
• Resolving tickets through Cherwell and managing configuration.
• Used Jenkins and pipelines to drive all microservices builds out to the Docker registry and then deployed to Kubernetes, Created Pods and managed using Kubernetes
• Deploying applications using Jenkins, VMware, SCCM, and shell scripting

• Managed Amazon Web Services not limited to IAM, EC2, S3, RDS, EBS, VPC, ELB, Cloud Watch, SNS
• Used IAM to create new accounts, roles, and groups
• Deployed and configured different types of EC2 instances
• Created S3 buckets and maintained and utilized the policy management of S3 buckets and Glacier for storage and backup on AWS
• Implemented and maintained the monitoring and alerting of production and corporate servers/storage using AWS CloudWatch
• Configure, monitor, and automate Amazon Web Services as well as being involved in deploying the content cloud platform on Amazon Web Services using EC2, S3, and EBS
• Worked on the real time data using Amazon Kinesis stream and triggered with AWS Lambda
• Created monitors, alarms, and notifications for EC2 hosts using CloudWatch
• Patching environments with the latest updates of OS on the servers to keep the servers healthy
• Involved in an automation project, to move the manual deployments to automation using AWS CLI
• Developed Terraform templates to create load balancers (ELB), EC2 instances with auto scaling, monitoring on the fly for different environments such as QA, SIT, stage which will run on different VPCs
• Developed Terraform modules for automating the provisioning of the AWS infrastructure
• Integrated defect tracking tool JIRA with Jenkins CI server for identifying, logging, tracking & documenting defects/issues in real-time
• Worked on Setting up Chef Server/Workstation and Bootstrapping Nodes
• Provisioned the highly available EC2 Instances using Terraform and cloud formation and wrote new plugins to support new functionality in Terraform
• Created Jenkins job to build the Artifacts using maven, deploy the Terraform templates to create the stack
• Responsibilities: Participating in packaging applications for the workspace 2020 project
• Developing script in PowerShell to automate the jobs of the System administrator.

• Design and configure continuous integration build system through collaboration with development
• Ansible deployment and automation for Banking configuration. Worked with dev team to build an automation testing and deployment tools using Ansible and IaC-Terraform
• Work towards Troubleshooting production issues and different scenarios of environments, logging, and data storage problems
• Python and PowerShell Scripting, post-deployment scripting, using Python to run and test on build
• Support the data security and code manageability using different techniques and encryption methods for better Handling of sensitive data using Python
• Performed transformations using Python, Powershell, and Yalm to analyze and gather the data in required format.
• Developed complex Python scripts to extract the data from output files.
• Work on various scenarios of parallel processing of deployment of different time variant and orchestration of Automating the deployment, python-based project and bash scripting
• Develop ansible playbooks and modules for IT automation
• Provide support to IT ops and administer scheduling of modules using ansible tower.
• Implementing new projects builds using Jenkins & Maven as build framework tools.
• Administer and Work on Jenkins for managing weekly Build, Test and Deploy chain, GIT with different environments
• Building/Maintaining Docker/ Kubernetes container clusters managed by Kubernetes Linux, Bash, GIT, Docker.
• Automatic Servers updates using Ansible with Python scripts
• Use aws cli commands to configure and review AWS environments.
• Migrate servers from on-premises to AWS cloud

Environment: Python, PowerShell Docker, LINUX, UNIX, Windows, SQL, Ansible, GitHub, Jenkins, Terraform, Kubernetes, Amazon S3 bucket, EC2 instance