Ahmed Ayan

AWS Certified Solutions Architect – Associate with 2+ years of hands-on experience designing, implementing, and managing scalable cloud infrastructure on AWS. Expert in CI/CD automation, containerization, infrastructure-as-code, and DevOps best practices. Proven track record of optimizing AWS costs by 35%, reducing deployment times by 60%, and maintaining 99.9% system uptime for production workloads.

Skilled in AWS services (EC2, S3, RDS, Lambda, ECS, VPC, IAM, CloudFormation), Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Python automation, and security hardening. Experienced in monitoring, logging, alerting, and troubleshooting Linux/Windows systems.

DevOps Engineer (Internship) at Expertflow (2026-07 – 2026-09)

• Designed and implemented production-grade CI/CD pipelines using Jenkins and GitHub Actions, achieving 100% deployment automation and reducing deployment time by 60% (2 hours → 48 minutes), enabling rapid feature releases
• Containerized 5+ microservices using Docker with multi-stage builds, reducing Docker image size by 45% and improving deployment efficiency across 8+ production workloads
• Orchestrated and managed Kubernetes (EKS) clusters supporting 8+ production workloads using Deployments, Services, ConfigMaps, and StatefulSets, maintaining 99.9% uptime SLA and supporting zero-downtime blue-green deployments
• Developed comprehensive Terraform Infrastructure-as-Code (IaC) modules for AWS infrastructure provisioning, achieving 90% infrastructure reproducibility and reducing manual configuration errors by 75%
• Implemented enterprise-grade monitoring, logging, and alerting using AWS CloudWatch, Prometheus, and Grafana, achieving 99.5% system uptime, reducing incident detection time by 50%, and enabling proactive issue resolution
• Optimized AWS infrastructure costs by 35% through strategic EC2 right-sizing, Auto Scaling Group configuration, Spot Instances utilization, and resource tagging strategies
• Managed 12+ feature deployments supporting development team velocity, implementing industry best practices for deployment safety and rollback procedures

DevOps Engineer & AWS Consultant at Upwork Freelance (2025-10 – Present)

• Designed and deployed highly available AWS infrastructure solutions for 15+ clients, implementing secure VPC architectures with public/private subnets, NAT Gateways, Security Groups, and IAM roles following least-privilege security principles
• Automated infrastructure provisioning using Terraform and AWS CloudFormation, creating reusable IaC modules that reduced manual setup time by 70% and improved infrastructure consistency across dev, staging, and production environments
• Built and optimized CI/CD pipelines using GitHub Actions, Jenkins, and GitLab CI for multiple clients, automating build, test, containerization, and deployment processes; reduced deployment cycles from 3+ hours to 15-30 minutes
• Containerized legacy and microservice-based applications using Docker, optimizing images for production use, implementing multi-stage builds, and managing container registries (ECR, Docker Hub)
• Architected and deployed Kubernetes clusters on AWS EKS, managing container orchestration, auto-scaling policies, load balancing, and implementing Helm charts for application deployment standardization
• Implemented comprehensive AWS monitoring and observability solutions using CloudWatch, ELK Stack, Prometheus, and Grafana; configured custom metrics, dashboards, and alerting mechanisms reducing MTTR by 45-55%
• Provided AWS cost optimization consulting, analyzing client infrastructure and implementing right-sizing strategies, reserved instance planning, and auto-scaling policies resulting in 25-40% cost reductions
• Configured and hardened AWS security posture using IAM best practices, encryption at-rest and in-transit, VPC Flow Logs, AWS Config, and Security Group policies to meet compliance requirements
• Developed Python scripts using Boto3 AWS SDK for infrastructure automation, cost monitoring, resource tagging, and operational tasks, improving team productivity and reducing manual effort by 60%
• Managed Linux system administration tasks including user management, network configuration, security hardening, log management, and performance troubleshooting for EC2 instances

Bachelor of Science in Computer Science (Specialization: Cloud Computing & AI) – University of Central Punjab (2027-05)