Fazal Rehaman

Cloud Engineer with 5+ years of experience designing, automating, and managing AWS and Azure infrastructure across healthcare, financial services, and enterprise SaaS environments. Skilled in Terraform, Kubernetes, Docker, CI/CD, Linux, Python, cloud networking, observability, and security, with experience in cloud migration, infrastructure automation, container platforms, disaster recovery, and production support. Improved cloud reliability, deployment efficiency, and operational performance, including approximately $62K in annual cloud cost savings through resource optimization.

Cloud Engineer II at NTT DATA (2026-01 – Present)

• Engineered AWS and Azure infrastructure across 11 client environments for AI-enabled SaaS products, partnering with application, platform, AI/ML, and security teams on infrastructure changes and production operations.
• Modernized 28+ legacy workloads with Docker and Kubernetes across EKS and AKS, using Helm to standardize application deployments across development, staging, and production environments.
• Developed reusable Terraform modules and Ansible automation for compute, networking, storage, and access controls, reducing environment provisioning time from 2 days to under 4 hours.
• Resolved Kubernetes production issues involving failed pods, resource contention, ingress, and service discovery for AI inference and API workloads handling 4M+ requests monthly.
• Orchestrated performance testing, capacity planning, and production releases for cloud-native platforms, coordinating 20+ releases per month through deployment validation, rollback procedures, and post-release checks.

Cloud Engineer at Momentum Financial Services Group (2024-09 – 2025-12)

• Managed production AWS and Azure environments for digital lending, money-transfer, and customer applications, administering Linux workloads, networking, deployments, and cloud resources across 7 business-critical environments.
• Standardized legacy infrastructure provisioning with Terraform and Ansible, reducing environment setup time from 3 days to under 5 hours across development and testing environments.
• Optimized Docker workloads on Kubernetes by tuning resource limits, health checks, autoscaling, and service connectivity for transaction platforms processing 2M+ requests per month.
• Automated Jenkins CI/CD pipelines with Git and Maven, streamlining build and deployment workflows while supporting 12+ production releases monthly with controlled rollback procedures.
• Diagnosed production incidents using CloudWatch, Azure Monitor, and centralized logging, performing root-cause analysis and reducing average incident resolution time from 75 to 42 minutes.
• Strengthened disaster recovery, backup validation, and production incident response for lending and transaction platforms against 30-minute recovery targets, maintaining operational runbooks in Jira and Confluence.

Cloud Engineer at LTIMindtree (2021-10 – 2024-04)

• Administered AWS environments for healthcare clients, operating patient-facing applications, healthcare data platforms, and internal clinical systems across development, testing, and production.
• Architected highly available AWS infrastructure across multiple Availability Zones using VPCs, subnets, NAT gateways, Application Load Balancers, and Transit Gateway, reducing infrastructure-related downtime by 24%.
• Migrated healthcare applications and databases from on-premises environments to AWS using S3, EBS snapshots, and AWS Database Migration Service, reducing batch processing times by 27%.
• Provisioned containerized applications on Amazon EKS, configuring Kubernetes deployments, services, ALB ingress, resource limits, and Horizontal Pod Autoscaling to improve application response times by 29%.
• Engineered CI/CD pipelines with CodePipeline, CodeBuild, and CodeDeploy, supporting rolling and blue-green deployments and reducing deployment-related failures by 36%.
• Optimized AWS usage through Cost Explorer, Savings Plans, and resource-rightsizing analysis, identifying underutilized resources and reducing annual cloud expenditure by approximately $62K.

Graduate Certificate in Cloud Computing – Loyalist College (2025-12)