Oladipupo Ibeun

Oladipupo Ibeun

Mentor
Rising Codementor
US$8.00
For every 15 mins
ABOUT ME
Devops Engineer with 5 years proficiency across full SDLC and
Devops Engineer with 5 years proficiency across full SDLC and

Highly skilled DevOps Engineer with over 4 years of experience designing and deploying scalable, secure infrastructure on AWS, GCP, Azure, OCI, and other cloud platforms using industry-standard tools and processes. Proven expertise in automating processes, optimizing resource utilization, and ensuring consistency across environments. Expert knowledge of implementing proactive monitoring, incident response strategies, and security best practices to safeguard infrastructure. Strong background in Site Reliability Engineering (SRE), focusing on enhancing system reliability, performance, and scalability. Collaborative and detail-oriented, committed to continuous improvement and staying up-to-date with emerging technologies.

Amsterdam (+02:00)
Joined March 2025
EXPERTISE
7 years experience
4 years experience
5 years experience
5 years experience
5 years experience
5 years experience
4 years experience

REVIEWS FROM CLIENTS

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SOCIAL PRESENCE
GitHub
web_scrapers
A repo for scraping data on the web
Jupyter Notebook
2
0
hamoye_AI_internship
all sample codes for the internship has been revised and stored here
Jupyter Notebook
0
0
EMPLOYMENTS
DevOps Engineer
Freelance
2022-06-01-Present
  • Engineered and deployed infrastructure resources using AWS, GCP, Kubernetes, and Terraform, increasing deployment efficiency by 5...
  • Engineered and deployed infrastructure resources using AWS, GCP, Kubernetes, and Terraform, increasing deployment efficiency by 50%.
  • Developed and optimized CI/CD pipelines using GitLab CI/CD, and AWS CodePipeline, cutting deployment times by 20% and boosting deployment frequency.
  • Maintained Kubernetes clusters across cloud platforms, ensuring scalability and high availability, and maintaining system uptime at 99.98%.
  • Optimized cloud resources, achieving 30% cost savings through effective management and cloud service architecting.
  • Implemented monitoring and logging solutions, reducing incident response time by 35% and enhancing system reliability.
  • Setup and maintain Kafka clusters across environments as a reliable message streaming engine.
Monitoring
Apache Spark
Apache Kafka
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Monitoring
Apache Spark
Apache Kafka
Kubernetes
Terraform
Aws Codepipeline
Apache Airflow
DevSecOps
GitLab CI/CD
AWS
Gcp guidelines
View more
DevOps Engineer
Dukka Contract
2024-07-01-2024-10-01
  • Engineered deployed and migrated infrastructure resources from AWS to GCP, with minimal downtime.
  • Developed and optimized...
  • Engineered deployed and migrated infrastructure resources from AWS to GCP, with minimal downtime.
  • Developed and optimized secure CI/CD pipelines using GitHub Actions, cutting deployment times by 70% and boosting deployment frequency.
  • Maintained dockerized deployment clusters across multiple environments, ensuring scalability and high availability, and maintaining system uptime at 99.00%.
  • Optimized cloud resources, achieving 20% cost savings through effective management and cloud service architecting.
  • Implemented monitoring and logging solutions, reducing incident response time by 50% and enhancing system reliability.
Python
Monitoring
Windows Server
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Python
Monitoring
Windows Server
Docker
Google Cloud Platform
Linux System Administration
Go
Network engineering
GitHub Actions
Security engineering
AWS
Gcp guidelines
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DevOps Engineer
Sproutly
2023-02-01-2024-10-01
  • Engineered and deployed infrastructure resources using AWS, GCP, Kubernetes, and Terraform, increasing deployment efficiency by 3...
  • Engineered and deployed infrastructure resources using AWS, GCP, Kubernetes, and Terraform, increasing deployment efficiency by 30%.
  • Established infrastructure as code (IaC) practices, automating provisioning and management, reducing manual errors by 50%.
  • Developed and optimized CI/CD pipelines using GitLab CI/CD, CircleCI, GitHub Actions, Cloudbuild, and AWS CodePipeline, cutting deployment times by 40% and boosting deployment frequency by 55%.
  • Optimized cloud resources, achieving 15% cost savings through effective management.
  • Managed DNS setup, authentication, and authorization.
  • Implemented monitoring and logging solutions, reducing incident response time by 25% and enhancing system reliability.
  • Maintained SLAs of deployed service and ensured low latency, high uptime, and low time to RCA and Resolution of Incidents.
Cloud
Monitoring
Google Cloud Platform
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Cloud
Monitoring
Google Cloud Platform
Kubernetes
Circleci
Terraform
Aws Codepipeline
GitLab CI/CD
GitHub Actions
PowerDNS
AWS
Gcp guidelines
View more