Fazal Rehaman

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.

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