Pedapolu Prashanthi
Open to Cloud & DevOps Roles | 4+ yrs in AWS, Azure & GCP | Skilled in Terraform, Kubernetes, CI/CD, and Security (IAM, WAF, KMS) | Automating & Scaling Cloud Infrastructure with 99.9% Uptime
- Role
- Aws Cloud Devops Engineer at Capital One
- Location
- Arlington, MA, US
- LinkedIn followers
- 500 followers
About Pedapolu Prashanthi
Results-driven IAM Engineer with hands-on experience building secure identity platforms…
Experience
Aws Cloud Devops Engineer
Feb 2025 — Present · US
Architected and deployed end-to-end AWS cloud solutions integrating serverless analytics and CI/CD automation with Kinesis, Lambda, Glue, Athena, ECS (Fargate), ECR, CodePipeline, and Terraform. • Designed scalable data lake architecture in S3 (raw, processed, curated) with AWS Glue and Athena, enabling structured analytics and real-time QuickSight dashboards. • Developed event-driven Lambda functions (Python) to process and enrich streaming data from Kinesis, achieving <60-second latency and handling 10K+ events/sec. • Built and containerized microservices using Docker, and deployed to ECS (Fargate) via automated CodePipeline/CodeBuild workflows with Blue/Green zero-downtime releases. • Implemented Infrastructure as Code using Terraform, automating provisioning of VPCs, subnets, ALBs, IAM policies, ECS clusters, and monitoring resources reducing manual setup time by 80%. • Applied AWS security best practices including IAM least privilege, KMS encryption, S3 bucket policies, VPC endpoints, and WAF to harden cloud infrastructure. • Configured centralized CloudWatch dashboards, X-Ray tracing, and SNS alerts for proactive performance monitoring and pipeline health notifications. • Optimized Athena queries by converting JSON to Parquet format, reducing cost by 70%, and applied S3 lifecycle policies for long-term data tiering to Glacier Deep Archive. • Enabled ECS and Kinesis auto-scaling based on CPU and throughput metrics, maintaining 99.9% uptime under variable loads. • Delivered fully automated, secure, and scalable AWS infrastructure, improving deployment frequency 3× and reducing operational effort by 90%.
Education
Mahatma Gandhi University, Nalgonda
Bachelor of Science - BS, Computer Applications
University of Bridgeport
Master of Science - MS, Computer Science
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