Cloud & edge
aws · gcp · production infra
devops portfolio · cloud systems · automation
Dhananjay Patel.
DevOps Engineer · Cloud Infrastructure · India
I design and operate cloud-native infrastructure for startup teams. Currently focused on Kubernetes, AWS/GCP, GitOps, and automation that reduces cost, toil, and incident risk.
Track record
Four years, in numbers
A compact snapshot from recent platform work. Client names stay private; outcomes and engineering patterns are what matter here.
Environments managed0dev to client prod
Microservices operated0+GKE and EKS
EC2 cost reduction0%Karpenter migration
Security findings0+remediated in 3 months
Clients served0+since going freelance
Reference
Tools I reach for first
Updated from my latest resume: cloud platforms, Kubernetes operations, GitOps, security hardening, backup/DR, and automation tooling.
Containers & orchestration
clusters · services · rollouts
Infrastructure as code
repeatable environments
GitOps & delivery
pipelines · appsets · releases
Observability & DR
metrics · logs · backups
Security & automation
hardening · scripts · workflows
Selected work
Selected infra work
Anonymized case studies from recent platform engineering work. Client names are intentionally private.
kubernetes cost optimization
Karpenter cost optimization
Migrated Kubernetes workloads from managed NodeGroups to Karpenter NodePools with workload-specific sizing and high spot-instance usage.
BeforeManaged NodeGroups
AfterKarpenter NodePools
EC2 node cost
gitops platform
Hub-and-Spoke GitOps platform
Consolidated separate ArgoCD instances into a Hub-and-Spoke model with ApplicationSet-driven bootstrap, TLS automation, DNS automation, and unified cluster visibility.
Reduced manual GitOps operations and standardized application delivery across dev, test, and prod environments.
database reliability
RDS performance stabilization
Introduced RDS Proxy and connection-flow changes to remove database connection storms from service workloads.
Before1,000+
After~35
Active DB connections
autoscaling
Event-driven autoscaling
Replaced CPU/memory-only autoscaling with KEDA based on NATS queue depth, Temporal workflow count, and HTTP traffic signals.
Improved worker responsiveness and kept minimum web capacity during low-traffic windows without overprovisioning.
security
Security hardening sprint
Resolved 400+ AWS Security Hub findings across IAM, S3, RDS, public access, and identity hardening.
400+
Security Hub findings resolved
backup disaster recovery
Backup and DR validation
Configured Velero 30-minute backups to a multi-region GCS bucket and executed a full cluster disaster recovery drill.
30 min
Backup interval, Velero
Work history
Where I've shipped
Reverse chronological. Focused on the infrastructure, automation, and production systems I have worked with.
Freelance DevOps / Platform Engineer · Self-Employed
Current- Manage cloud infrastructure across 6 environments for Kubernetes-based startup platforms running 30+ microservices on GKE and EKS.
- Built event-driven autoscaling with KEDA using NATS queue depth, Temporal workflow counts, and HTTP traffic signals to right-size worker and web workloads.
- Migrated EKS workloads from managed NodeGroups to Karpenter NodePools, cutting EC2 node cost by 60% while keeping 80%+ spot instance usage.
- Designed Hub-and-Spoke ArgoCD and ApplicationSet workflows for multi-cluster GitOps, TLS automation, DNS automation, and centralized observability.
- Resolved 400+ AWS Security Hub findings across IAM, S3, RDS, WAF, and SSO hardening to support security reviews and funding readiness.
- Implemented Velero 30-minute backups to multi-region GCS and validated full disaster recovery through a successful cluster restore drill.
DevOps Engineer · Serving Drives
Completed- Managed AWS services including EC2, S3, Lambda, API Gateway, and ALB for production application workloads.
- Deployed the team's first containerized workloads using Docker on EC2 and built Jenkins CI/CD pipelines for repeatable deployments.
- Provisioned infrastructure with Terraform and automated Docker image cleanup with Bash to prevent disk exhaustion.
- Built Python and Bash scripts to improve deployment, monitoring, and operational workflows.
Cloud Engineering Intern · BrainyBeam Technologies
Completed- Assisted with AWS infrastructure operations across EC2, S3, and RDS while learning production cloud workflows.
- Supported cloud automation with Python and Bash scripts for repeatable operational tasks.
- Helped monitor cloud environments, troubleshoot system issues, and document basic cloud security practices.
Education
Academic foundation
Formal computer engineering background that sits underneath the cloud, infrastructure, and automation work.
Jan 2024 - Aug 2024
Post Graduate Certificate
Conestoga College · Waterloo, ON
- Specialized in advanced cloud computing concepts and virtualization technologies.
- Hands-on experience with enterprise cloud platforms and hybrid infrastructure.
- Studied container orchestration, microservices architecture, and cloud security.
Jan 2023 - Aug 2023
Post Graduate Certificate
Algoma University · Brampton, ON
- Advanced coursework in modern IT practices and emerging technologies.
- Focused on system administration, network security, and software development.
- Completed practical projects in automation, scripting, and infrastructure management.
Aug 2018 - May 2022
Bachelor of Engineering
Gujarat Technological University · Gujarat, India
- Comprehensive foundation in computer science principles and engineering practices.
- Specialized in software engineering, data structures, and computer networks.
- Completed a capstone project on distributed systems and cloud computing architectures.
- Active participation in coding competitions and technical workshops.
Writing
From the blog
Articles where I turn practical Docker, DevOps, and programming lessons into reusable explanations.
Docker Image Optimization: Reducing Size for Faster Deployments
Master Docker image optimization techniques for faster deployments
Read featured articleContact
Let's talk
Best reached by email or LinkedIn. I am open to DevOps, cloud infrastructure, platform, and automation conversations.
Channels
Send a note.
Email is best. GitHub and LinkedIn are open too if the context fits better there.