<aside> β―οΈ I'm a Software & Platform/Cloud Engineer with over 10**+ years of experience**. When Iβm not deep into cloud systems or machine learning, I enjoy exploring how technology can make life easier for people β especially in the neurodiverse community.
</aside>
<aside> ππΌ Contact
π linkedin.com/in/kinfinity3/
πΎ github.com/kokou-egbewatt
</aside>
Results-driven Software / DevOps Engineer with expertise in cloud infrastructure, automation, and deployment. Proven track record of implementing scalable and reliable solutions in AWS and Azure.
Skilled in infrastructure as code (IaC) using tools like AWS CDK, Terraform, and Ansible, enabling efficient deployment. Proficient in Docker and Kubernetes for containerization and microservices optimization. Experienced in integrating third-party APIs, developing AWS Lambda functions, and managing data workflows with AWS Batch. Implemented CI/CD pipelines using GitHub Actions and Azure DevOps, and established monitoring and alerting solutions with CloudWatch, Grafana, Prometheus, and ELK stack.
Effective remote collaborator with a focus on delivering projects on time and within budget. Holds a Bachelor's degree in Computer Engineering. Committed to continuous learning and staying up-to-date with cutting-edge tools and techniques. Passionate about leveraging technology to deliver robust and scalable cloud solutions, combining problem-solving solid skills with a collaborative approach to drive successful projects.
βοΈ Cloud Platforms β AWS, Azure, GCP, Heroku
π οΈ Infrastructure-as-Code & Config Management β Terraform, Ansible, Vagrant
π¦ Containerization & Orchestration β Docker, Kubernetes
β‘ CI/CD & Automation β GitHub Actions, Jenkins, GitLab CI, Azure DevOps, AWS CodeBuild, Bamboo
π¨βπ» Programming & Scripting β Go, Python, Java, C++, C# .NET, Node.js, PHP, Bash, PowerShell, Groovy
π¬ Databases β PostgreSQL, MySQL, MongoDB
π Monitoring & Observability β Grafana, Prometheus, Datadog, ELK Stack, CloudWatch
π‘ Streaming & Distributed Systems β gRPC, WebRTC, Kafka, event-driven architectures
π§ Machine Learning & Data β Databricks, MLflow, PyTorch, feature extraction, real-time inference pipelines
π Operating Systems β Linux, Windows
π Methodologies & Tools β Agile (Scrum/Kanban), SDLC, Jira, Notion
Guy Carpenter β New York, USA | July 2024 β Present