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Frank E. - Fullstack Developer, Data Science, Data Analysis

My journey at Softaims has been defined by curiosity, growth, and collaboration. I’ve always believed that good software is not just built—it’s carefully shaped through understanding, exploration, and iteration. Every project I’ve worked on has taught me something new about how to balance simplicity with depth, and efficiency with creativity. At its core, my work revolves around helping businesses and people achieve more through thoughtful technology. I’ve learned that the most successful projects come from teams that communicate openly and stay adaptable. At Softaims, I’ve had the opportunity to work alongside professionals who challenge assumptions, share knowledge generously, and inspire continuous improvement. I take pride in focusing on the fundamentals—clarity in logic, consistency in design, and empathy in execution. Software is more than a set of features; it’s a reflection of how we think about problems and how we choose to solve them. By maintaining this perspective, I aim to build solutions that are not only effective today but also flexible enough to support the challenges of tomorrow. The culture at Softaims promotes learning as an ongoing process. Every new project feels like a step forward, both personally and professionally. I see each challenge as a chance to refine my skills and contribute to the shared vision of building technology that genuinely improves lives.

Main technologies

  • Fullstack Developer

    3 years

  • CI/CD

    1 Year

  • Google Cloud Platform

    1 Year

  • Amazon Web Services

    1 Year

Additional skills

  • CI/CD
  • Google Cloud Platform
  • Amazon Web Services
  • Microsoft Azure
  • Terraform
  • Cloud Engineering
  • Solution Architecture
  • Kubernetes
  • Docker
  • Deployment Automation
  • Cloud Migration
  • Cloud Management
  • DevOps Engineering
  • Cloud Security
  • System Monitoring
  • Data Engineering
  • Data Science
  • Data Analysis

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Experience Highlights

Kubernetes-Based Microservices Deployment on Azure

Designed and deployed a scalable Kubernetes-based architecture for microservices hosted on Azure. The system includes multiple deployments (Notifications, Payments, Playbook, Auth API), integrated with Kafka for event-driven communication and a Postgres database for persistent storage. Leveraged Azure DevOps pipelines for CI/CD, automating code builds, containerization, and deployments. Implemented monitoring with Grafana, Prometheus, and Loki for real-time performance insights and issue tracking, ensuring high availability and fault tolerance. Supports seamless path-based API routing.

Full Automation of Azure DevOps Deployment to AKS with Monitoring

Designed and deployed a microservices platform using Azure Kubernetes Service (AKS), integrated with Azure DevOps for CI/CD, MongoDB for data storage, and Grafana/Prometheus for real-time monitoring. This architecture optimized scalability, modularity, and high availability for seamless cloud-native operations.

Azure DevOps Project Architecture

Worked with developers to integrate resources within projects using Azure DevOps pipeline and maintained VMs and containers through Azure App Service and Azure Kubernetes Services.

Education

  • University of Ilorin

    Bachelor of Science (BS) in Food Science and Technology

    2015-01-01-2020-01-01

  • Scholars International Institute of Technology

    Associate's degree in DevOps Engineering

    2021-01-01-2021-01-01

  • National Institute of Information Technology, Ikeja

    Associate's degree in System Administration

    2010-01-01-2010-01-01

Languages

  • English

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