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Aransiola Samuel

Aransiola Samuel

DevOps Engineer

Talent
LagosMember since July 4, 2026
PythonSQLAWSEC2S3IAMRoute 53Secrets ManagerGitHub ActionsCI/CD PipelinesSSL ConfigurationGitPower BITensorFlowScikit-learnPandasNumPyDocumentation
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PythonSQLAWSEC2S3

About

DevOps Engineer with hands-on experience designing and managing AWS cloud infrastructure, building CI/CD pipelines, and deploying production systems end to end.

Background in data science and cloud automation gives me the ability to bridge infrastructure and analytics reducing deployment friction, improving system reliability, and delivering clean handover documentation. Structured, execution-focused, and comfortable owning infrastructure from provisioning to monitoring.

Experience

Cloud Infrastructure & DevOps Engineer at Clasptek Coaching Limited (2025-06 – Present)

  • Architected and managed end-to-end cloud infrastructure on AWS and GCP, provisioning EC2, S3, IAM roles, and Secrets Manager configurations across multiple service environments.
  • Designed and implemented CI/CD pipelines using GitHub Actions for automated build, test, and deployment workflows reducing manual deployment effort by 35% and enabling zero-downtime releases.
  • Managed DNS and domain configuration including SSL certificate provisioning and Route 53-equivalent routing, maintaining 99%+ system uptime across all hosted services.
  • Implemented cloud security best practices including IAM policies, role-based access control, and data encryption, ensuring compliance and protecting sensitive organisational data.
  • Produced full infrastructure handover documentation enabling internal teams to maintain and extend systems independently post-deployment.

Data Analyst Intern at Riki Logistics (2022-07 – 2022-10)

  • Deployed a cloud-connected Power BI sales dashboard integrated with live AWS-hosted data sources, driving an 80% revenue increase in 3 months.
  • Automated inventory forecasting pipelines using Python and SQL, reducing stockout occurrences by 30% through time-series analysis.
  • Refined customer segmentation models using Scikit-learn, enabling targeted marketing interventions that increased retention by 25%.

Education

BSc in Data Science – Miva University

Ordinary National Diploma in Computer Engineering – Yaba College of Technology

Skills

DevOps Engineer

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