Rajagopalan G

Led AWS FinOps and cost optimization initiatives across a large multi-account environment, delivering USD 1.3M in realized savings in 2025 and projecting USD 2.3M in additional savings for 2026. Designed and executed EC2 rightsizing strategies using utilization metrics and Compute Optimizer recommendations, optimizing instance families, sizes, and purchasing models. Implemented and managed Savings Plans (CSP) and Reserved Instances (RI) strategies, improving long-term cost efficiency while maintaining workload performance and flexibility. Automated EC2 Instance Scheduler for non-production workloads, significantly reducing off-hours compute spend. Built Qlik Sense FinOps dashboards using AWS CUR and billing data to track monthly forecasts, service-level costs, optimization opportunities, and realized savings. Expert in AWS architecture design and implementation for optimal performance. Enhanced system reliability, achieving 99.9% uptime for critical applications.

Designed AWS account architecture and implemented standardized account baselines, including IAM structure, Networking, security controls, logging, and monitoring best practices. Managed AWS support and operational activities for 250+ customer accounts, ensuring availability, performance, and issue resolution across multiple environments. Monitored application and infrastructure health using Grafana, proactively identifying incidents and performance degradation

Managed infrastructure configuration and change management using Terraform, ensuring consistent and repeatable deployments across environments. Supported CI/CD pipelines and application deployments using Bitbucket, as part of daily DevOps operations. Administered and operated core AWS services, including EC2, S3, IAM, and VPC, following security and availability best practices. Implemented monitoring and alerting using Amazon CloudWatch to track system health and application performance. Executed and supported 100+ production deployments, collaborating closely with development teams to troubleshoot issues and reduce deployment failures.