I build scalable cloud infrastructure, automate deployments, and optimize production systems.

• -Designed and deployed scalable AWS and Azure cloud infrastructure, improving deployment efficiency and enhancing platform reliability across production environments
• -Automated infrastructure provisioning and deployment workflows using Terraform and CI/CD pipelines, reducing manual configuration overhead and improving operational consistency
• -Implemented containerized deployment strategies using Docker and cloud-native services, improving scalability and deployment speed
• -Optimized cloud resource utilization and infrastructure architecture, contributing to reduced operational costs and improved system performance
• -Collaborated with development teams to support secure, reliable, and highly available cloud-based applications

• -Designed automated CI/CD pipelines using Jenkins and GitHub Actions
• -Built Infrastructure as Code solutions with Terraform for repeatable deployments
• -Managed EC2, S3, IAM, VPC, Lambda, and RDS in team cloud projects
• -Deployed scalable ECS Fargate workloads with Blue/Green deployment strategies

• -Automated cloud infrastructure provisioning and deployment processes, accelerating onboarding and reducing deployment time for client environments
• -Designed and deployed cloud-based infrastructure solutions using AWS services, Docker, and infrastructure automation practices
• -Diagnosed and resolved infrastructure, Linux server, and deployment-related issues to maintain platform reliability and operational continuity
• -Supported CI/CD workflow implementation and automated deployment pipelines for improved software delivery efficiency
• -Contributed to Oracle E-Business Suite deployment and operational support initiatives, driving successful internal adoption across business units

• -Automated operational and reporting workflows using Bash and Python scripting, improving internal efficiency and reducing repetitive manual tasks
• -Managed technical website optimization initiatives that improved website performance, SEO visibility, and digital conversion metrics
• -Increased organic web traffic by 25% through data-driven optimization strategies and improved conversion rates by 15% using A/B testing
• -Collaborated with cross-functional teams to improve digital operations, reporting accuracy, and customer engagement performance

AWS ECS CI/CD Infrastructure

Teams were manually deploying containerised apps to AWS with no standardised pipeline, causing inconsistent deployments and frequent rollback failures.

GitHub Actions triggers Docker build on push. Image pushed to ECR, Terraform provisions ECS Fargate cluster with ALB and auto-scaling. CodeDeploy handles Blue/Green traffic shifting.

IAM Least Privilege

Every Lambda, ECS task, and CI/CD pipeline gets a dedicated IAM role with only the permissions it needs. No wildcard actions, no shared credentials.

Secrets Management

Sensitive values stored in AWS Secrets Manager and SSM Parameter Store. Never hardcoded. Auto-rotated where supported. Referenced by ARN in Terraform.

Network Isolation

Private subnets for compute and data layers. Public subnets only for ALB. Security groups follow zero-trust model. VPC flow logs enabled.

HTTPS/TLS Everywhere

ACM certificates on all ALB listeners. S3 buckets enforce HTTPS via bucket policies. CloudFront enforces TLS 1.2+ minimum.

Secure CI/CD Workflows

GitHub Actions secrets for credentials. OIDC federation eliminates static keys. Docker image scanning before ECR push. Signed commits enforced.

Encryption at Rest

RDS encryption enabled by default. S3 server-side encryption (SSE-S3 or SSE-KMS). DynamoDB encryption using AWS managed keys.