I’m Jecinta Onyinyechi Umeohana, a Cloud DevOps Engineer with 1.5+ years of intensive technical training and hands-on project experience in cloud infrastructure and DevOps practices. I specialize in designing and deploying scalable environments on Amazon Web Services (AWS), using Terraform to automate infrastructure provisioning, and orchestrating CI/CD pipelines.
I've containerized multi-tier applications using Docker Compose, configured Nginx reverse proxies, secured end-to-end traffic with Cloudflare SSL, built automated GitHub Actions CI/CD pipelines with HTML validation gates and rollback capabilities, and managed configurations using Ansible.
I'm currently expanding my skills in Kubernetes and working toward the AWS Certified Solutions Architect certification while continuing to build scalable, automated, and reliable cloud solutions.
Bachelor of Science in Business Administration
Nnamdi Azikiwe University, Awka
Graduated: 2023
Competencies: Project Management, Strategic Planning, Data Analysis
NC 03 - Cloud Computing
Neocloud Technologies
Issued September 2025
AWS Certified Solutions Architect
Amazon Web Services
In Progress
Containerized React/Django/PostgreSQL on AWS EC2. Automated GitHub Actions CI/CD using Docker Hub registry publishing, image SHA tagging, zero on-server builds, automated health checks, and last-known-good image rollbacks.
Engineered a GitOps CI/CD pipeline delivering this portfolio to Cloudflare’s global edge. Enforced automated HTML validation (html5validator) gates, Wrangler IaC route scoping (wrangler.jsonc), least-privilege API token secrets, and DNS cleanup.
Architected a fault-tolerant web app using Terraform (20+ resources). Configured custom VPC architecture across two AZs with Auto Scaling Groups and ALBs, reducing deployment time by 75%.
Automated Flask/Django deployment using Ansible playbooks and Docker Compose across GitHub Actions, GitLab CI/CD, and Jenkins to minimize manual errors and boost release frequency.
Designed a serverless application leveraging CloudFront, S3, DynamoDB, Lambda, and API Gateway. Resulted in 40% cost savings via pay-per-use and 30% latency reduction via CDN caching.
Engineered event-driven data pipelines using AWS CLI/Lambda to sync S3 and DynamoDB. Established S3 Cross-Region Replication for high availability, disaster recovery, and data durability.
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