Hi, I'mPrachi Wadhwa
I build secure, automated and scalable infrastructure — from GitHub Actions CI/CD pipelines to Kubernetes on EKS and AWS CDN architecture — so systems ship reliably with full observability and zero manual intervention.
Profile
A DevOps Engineer focused on automation-first infrastructure, container orchestration, observability, and AWS reliability.
I'm Prachi Wadhwa, a DevOps and Cloud Engineer with hands-on experience designing and automating cloud-native infrastructure on AWS — currently building infrastructure for a FinTech / high-frequency trading platform.
Day to day I work with AWS (EC2, S3, CloudFront, EKS, Lambda, IAM), GitHub Actions, Jenkins, Docker, Kubernetes, Terraform, Prometheus, Grafana, Loki, NATS JetStream, and Apache Kafka — building pipelines, hardening infrastructure, and keeping deployments observable end to end.
My goal in every project: faster deployments, zero over-permissioning, full observability — without manual intervention.
Technical toolkit
From CDN architecture and container orchestration to IaC, CI/CD, and full-stack observability.
Key production work
Real infrastructure and automation projects — deployed and running today.
Where I've applied these skills
- Architected AWS CloudFront CDN with private S3 origin (OAC) — 400+ edge locations with A+ security grade on SecurityHeaders.com.
- Built GitHub Actions CI/CD pipeline — git push auto-deploys to S3 and invalidates CloudFront globally in under 60 seconds.
- Created least-privilege IAM roles for EKS node groups and service accounts — zero over-permissioning across Kubernetes workloads.
- Integrated HFT NATS library and configured NATS JetStream alerting with dedicated Grafana dashboards.
- Deployed and managed Apache Kafka clusters for high-throughput, fault-tolerant streaming of real-time market data between microservices.
- Built a Python orchestrator for EC2/JMeter lifecycle — executed 5,000-user load tests with zero errors.
- Deployed Prometheus + Grafana + Loki observability stack — reducing incident response time by 50%.
- Migrated legacy pipelines to Docker-based workflows — deployment time down 40%.
- Designed and maintained CI/CD pipelines using Jenkins and GitHub Actions for production applications.
- Containerized applications with Docker — deployed via Docker Compose and Kubernetes across environments.
- Managed AWS services (EC2, S3, IAM, VPC) for infrastructure setup, automation, and cost optimization.
- Configured AWS CloudWatch monitoring and alerting, ensuring high availability and minimizing downtime.
Certifications & achievements
Let's talk
Open to DevOps and Cloud Engineer roles, Pan India. If you're building infrastructure that needs to be fast, secure, and automated — let's talk.