Cloud / DevOps / SRE–focused engineer who loves automation, reliability, and building scalable systems.
🎓 4th-year B.CompSci (Cloud Computing) @ Sheridan College · 📍 Toronto, ON

• Cloud architectures: AWS-first with multi-cloud (AWS + GCP) exposure
• Infrastructure as Code: Terraform (version-controlled IaC, reusable modules)
• CI/CD: GitHub Actions (plan/apply, build/test/deploy, environment gates)
• Serverless & event-driven: Lambda, Cloud Functions, queues, webhooks
• Observability: CloudWatch, GCP Monitoring, Prometheus, Grafana
• Linux & tooling: Ubuntu/Debian, Docker, Helm/K3s, Bash, Python

Cloud: AWS (EC2, S3, IAM, Lambda, CloudWatch), GCP (Pub/Sub, Cloud Functions)
IaC & DevOps: Terraform, GitHub Actions, Docker, Kubernetes (K3s, Helm)
Languages: Python, Bash, Go, TypeScript/JavaScript
Databases: DynamoDB, PostgreSQL, MongoDB
Monitoring: CloudWatch, Prometheus, Grafana
OS: Linux (Ubuntu/Debian)

AWS, GCP, Terraform, Python, GitHub Actions

• Built a multi-cloud data platform with AWS–GCP redundancy → 99.9% uptime and <2-minute failover
• Automated 20+ resources via Terraform and CI/CD for repeatable deployments
• Serverless, event-driven pipelines processing 2000+ real-time messages with sub-second latency
• Unified monitoring & alerting with CloudWatch + GCP Monitoring for proactive incident response
• Cost-aware DR using GCP free tier to keep backup spend minimal

Repo: https://github.com/umar11b/BlockchainCore

K3s, Docker, Helm, Prometheus, Grafana, Terraform, Bash

• Production-style K3s cluster with Helm/Kustomize and GitOps-style workflows
• 12+ Grafana dashboards across nodes, pods, and custom metrics
• 16% lower memory via tuned requests/limits and HPA thresholds
• CI/CD utilities: 15+ Make targets for deploy/cleanup/backup (CronJobs)

Repo: https://github.com/umar11b/k3s-showcase

• Email: zamanu@sheridancollege.ca
• LinkedIn: https://linkedin.com/in/umarzaman2018
• Portfolio: https://umarzaman.ca

Outside the cloud ☁️ I train Muay Thai and BJJ—same discipline I bring to engineering.