Raymond Adjetey

Environment: Amazon EC2, S3, RDS, VPC, ELB, EBS, Auto scaling, UNIX/LINUX, Redhat Linux 6, CentOS, Jenkins, Windows, Apache Tomcat, Shell Scripts, Docker, Nagios, puppet.

• Managed cookbooks in Chef and Implemented environments, roles, and templates in Chef for better environment management.
• Used Shell scripts to day to day activities and tasks for automating.
• Used Jenkins tool to automate the build process.
• Installing and configuring Jenkins master and slave nodes. Built CI/CD pipeline and managing the infrastructure as code using chef and puppet.
• Have experience in cloud platform like AWS.
• Created and implemented chef cookbooks for deployment and also used Chef Recipes to create a Deployment directly into Amazon EC2 instances.
• Worked in GIT to manage source code.
• Setup Chef Server, workstation, client and wrote scripts to deploy applications.
• Deployed the applications to Tomcat Application Server and static content to Apache web servers.
• Automated the continuous integration and deployments using Jenkins, Docker.
• Installed, Configured, and Managed Monitoring Tools such as Nagios for Resource Monitoring/Network Monitoring.
• Worked on Docker container to create Docker images for different environments.
• Responsible for taking the source code and compiling using Maven and package it in its distributable format, such as a WAR file.
• Implemented process for release management, automated code deployment, configuration management, and monitoring.

Environment: Hadoop, HDFS, Map Reduce, Flume, Pig, Sqoop, Hive, Pig, Sqoop, Oozie, MongoDB, Shell Scripting.

• Worked with systems engineering team to plan and deploy new Hadoop environments and expand existing Hadoop clusters with agile methodology.
• Monitored multiple Hadoop clusters environments using Control-M, monitored workload, job performance and capacity planning using Cloudera Manager.
• Experienced with through hands-on experience in all Hadoop, Java, SQL and Python.
• Participated in functional reviews, test specifications and documentation review.
• Performed MapReduce programs on log data to transform into structured way to find user location, age group, spending time.
• Analyzed the web log data using the HiveQL to extract number of unique visitors per day, page views, visit duration, most purchased product on website.
• Exported the analyzed data to the relational databases using Sqoop for visualization and to generate reports by Business Intelligence tools.
• Documented the systems processes and procedures for future references, responsible to manage data coming from different sources.
• Managed multiple projects as a Datawarehouse tech lead in Onsite - Offshore model.

Environment : GitHub · Git · Google Kubernetes Engine (GKE) · Terraform · Tekton CI/CD · Ansible · Docker Products · docker · Kubernetes · Linux · HTML · AWS Lambda · Java · Python (Programming Language)

• Create and maintain fully automated CI/CD pipelines for code deployment using Octopus Deploy and PowerShell
• Actively manage, improve, and monitor cloud infrastructure on AWS, EC2, S3, and RDS, including backups, patches, and scaling
• Built and deployed Docker containers to break up monolithic apps into microservices, improving developer workflow, increasing scalability, and optimizing speed.
• Wrote Puppet manifests and modules to deploy, configure, and manage servers
  Automated build and deployment using Jenkins to reduce human error and speed up production processes
• Installed and configured Nagios to constantly monitor network bandwidth, memory usage, and hard drive status
• Managed GitHub repositories and permissions, including branching and tagging

• Developed deep knowledge of customer business processes and requirements to develop tailored solutions that meet specific needs while maximizing value from available resources.
• Collaborated closely with engineering teams to ensure proper design and implementation of projects ensuring successful delivery within budget and timeline goals set by the customer.
• Managed multiple complex engagements simultaneously across various phases including proposal development through contract execution as well as post-implementation support & maintenance activities such as migrations or upgrades/patching efforts when required