DevOps Engineer
Experienced IT professional skilled in managing environments, specializing in Kubernetes, Helm, and DevOps tools like Docker, and Jenkins. Proficient in Terraform, Python, and Linux scripting for efficient API-driven provisioning.
Download ResumeAutomated infrastructure by using Terraform to provision Multi-tier architecture on AWS cloud to save business from failover and reduce time spent by 20% on addressing misconfigurations and unplanned downtime leading to maintained Business focus.
Increased rate of software delivery by 30% through Continuous Integration and Continuous Deployment using AWS DevOps and Jenkins CICD pipeline leading to faster time to market.
May 2018- May 2020
Austin Peay State University - Clarksville, TN
August 2015 - May 2018
Tennessee State University - Nashville, TN
August 2006 - May 2010
University of Ghana - Accra
Certified Kubernetes Administrator – CKA
Certified Solutions Architect – Associate, AWS - SAA-C02
HashiCorp Certified: Terraform Associate (002)
Deep Learning by (Andrew Ng) DeepLearning
Mathematics for Machine Learning by Imperial College London
SQL for Data Science by UC Davis University on Coursera
View Solution Architect Cert View Terraform Cert Download DeepLearning Cert Download Machine Learning Cert Download SQL Cert2020 - present
DevOps Engineer
Implementation of Datadog for comprehensive monitoring and efficient response to incidents, collaborating seamlessly with PagerDuty for incident management. Orchestrated the development of Terraform modules, facilitating the deployment of VPCs and PostgreSQL databases, enhancing infrastructure efficiency. Innovated by creating APIs that seamlessly integrate Jira and GitHub, automating the creation of Jira issues (tickets) and streamlining the workflow. Demonstrated expertise in crafting Helm charts to enhance the deployment process of microservices, optimizing scalability and maintainability. Implementation of CI/CD pipelines using Jenkins, ensuring a seamless and automated integration process for software development. Successfully executed cost optimization strategies by leveraging Boto3 to remove stale snapshots, resulting in enhanced resource efficiency.
2018 - 2020
Graduate Research Assistant
Executed administrative and research responsibilities as per the professor's directives. Guided students in constructing models utilizing machine learning algorithms, including support vector machines, neural networks, random forests, and clustering (DBSCAN). Conducted thorough evaluations and grading of examinations, assignments, and papers, meticulously recording grades for comprehensive academic assessment. Designed database schemas to model data structures effectively, ensuring data integrity and efficient retrieval. Created comprehensive ER diagrams to visualize relationships between entities, promoting clear understanding of database structure. Guided learners through database construction processes, promoting technical comprehension and problem-solving abilities
2020
Mildred Grant Presidential Fellowship Award
2015
Dean's Scholarship
Bozeman, Montana
+1615 568 5213
edmundtetteh2000@hotmail.com