Akoanung Abendong

About Akoanung Abendong

With a dynamic background in Cloud Engineering, DevOps and Data Analytics spanning over 5 years, I am a highly motivated professional committed to driving technical excellence and delivering scalable solutions. My expertise lies in designing, provisioning, and managing cloud infrastructures on AWS, with a focus on optimizing deployments and enhancing system reliability. In my role as a Data and Cloud Analyst, I have demonstrated proficiency in leveraging key Cloud services and tools such as Terraform, AWS Lambda, Ansible, Docker, and Jenkins to automate infrastructure provisioning, configuration management, and deployment processes. I specialize in building highly available and fault-tolerant architectures (most especially data architectures), ensuring seamless operation of mission-critical applications. Furthermore, my experience in DevOps practices equips me with the skills necessary to streamline development workflows, improve collaboration between development and operations teams, and implement continuous integration and continuous deployment (CI/CD) pipelines. I have a solid understanding of cloud security, identity and access management, monitoring, and event management, enabling me to implement robust security measures and ensure compliance with industry standards. I possess a strong aptitude for problem-solving and thrive in fast-paced environments, where I excel at identifying innovative solutions to complex technical challenges with an analytical eye. Additionally, my effective communication skills and collaborative approach enable me to work closely with cross-functional teams and stakeholders to achieve organizational objectives. Overall, being a Cloud enthusiast, I am eager to apply my skills and expertise to drive decision-making through data-driven storytelling in a sustainability-focused organization to forge forward an organization\'s mission for a more sustainable business landscape. I also am eager to continue expanding my skills and contributing to the success of future projects. Other skills- Good mastery of SQL and Python in data modeling, wrangling, visualizing, and building predictive machine learning models leveraging Pandas, Matplotlib, Seaborn, and Scikit-Learn libraries for Data Analysis. My expertise in Tableau, PowerBI and Excel in creating dynamic dashboards and giving more granularity to data visualization is quite intriguing. I am also an environmental engineer (MSc.) by passion I am a native English speaker with a conversational (B1) l-level German proficiency

Experience

1. Cloud Engineer

   Primus Cloud Solutions Inc

   Mar 2022 — Present

   Accomplished highly scalable and resilient application deployment as measured by a 25% improvement in system availability by containerizing services with Docker and orchestrating them using Amazon ECS and Kubernetes (EKS).Reduced infrastructure provisioning time by 40% by automating resource deployment with Terraform and AWS CloudFormation, ensuring consistent and repeatable environments.Accelerated software delivery by 35% by building end-to-end CI/CD pipelines using Jenkins, GitHub Actions, and AWS CodePipeline, integrating Terraform and Ansible for infrastructure automation.Improved incident response time by 50% by implementing centralized monitoring and alerting with AWS CloudWatch, Prometheus, and ELK Stack, enhancing operational visibility and system reliability.Increased data query performance by 30% by designing optimized AWS data architectures using Redshift, Glue, EMR, and Kinesis, leveraging efficient partitioning and schema design.Enabled seamless cross-cloud analytics as measured by reduced data processing overhead and enhanced integration by developing ETL pipelines across AWS Glue, GCP BigQuery, and Azure data factory and synapse.Reduced operational costs and improved security posture by 20% by leading on-premises to AWS cloud migrations, applying IAM least-privilege models, encryption with KMS, and GuardDuty for threat detection.Collaborated with cross-functional teams to design secure and high-availability AWS networking solutions using VPC, Route 53, and Load Balancers, ensuring 99.99% uptime for critical applications.Enhanced application performance and team collaboration by delivering cloud-native solutions in cross-functional environments, aligning technical strategies with business goals.

Education

• Coursera

  Cloud Engineer /DevOps

• University of Buea

  BSc. & MSc. Applied Geology and GIS

  2010 — 2016

• Masterschool

  Data Analytics

  2022 — 2023

• Gracious University

  BSc. Computer Science

  2017 — 2020

• Technische Universität Darmstadt

  Master of Science - MS

  2019 — 2023