S. T. Adebodun
...

Experience

May 2025 — Oct 2025

DevOps Engineer

Conclase Academy ↗
  • Played a pivotal role in optimising DevOps processes through orchestration and Infrastructure as Code
  • Built and maintained CI/CD pipelines, automated environment provisioning, and ensured system health through proactive monitoring
  • Collaboration with cross-functional teams led to significant improvements in deployment reliability and efficiency through containerisation
  • Utilised Python for automating CI/CD pipelines
  • Implemented orchestration for better resource management
Dec 2023 — Apr 2025

System Administrator

Nigeria Meteorological Agency (NIMET) ↗
  • Maintained 24/7 operational integrity of critical weather data processing systems, ensuring accurate forecasting during severe weather events
  • Managed extensive meteorological databases, implementing robust backup procedures that improved data integrity by 30%
  • Configured and supported network infrastructure, facilitating reliable data transmission from nationwide weather stations to central processing facilities
  • Troubleshot mission-critical systems, minimising downtime and ensuring accurate weather data flow
Nov 2022 — Oct 2025

IT Support Engineer

Stabim Innovatives Limited ↗
  • Provided technical support for fintech platforms, ensuring seamless operation of digital payment systems
  • Resolved payment processing issues and transaction disputes, enhancing customer satisfaction and trust
  • Collaborated with cross-functional teams to ensure compliance with security and regulatory standards
Dec 2021 — Apr 2022

Network Administrator

Nigeria Meteorological Agency (NIMET) ↗
  • Maintained critical data transmission systems for real-time weather monitoring and forecasting using Python
  • Configured and managed routers to ensure seamless connectivity between automated weather stations and processing facilities
  • Enhanced network security protocols, contributing to 24/7 operational reliability for public safety
  • Used containerisation to improve system scalability