I build and document hands-on cloud and DevOps automation across AWS, Kubernetes, Terraform, Ansible, Docker, CI/CD and Python/Boto3.
My repositories focus on practical engineering: repeatable labs, infrastructure automation, troubleshooting, security, observability and production-oriented design.
AWS · Kubernetes / EKS · Terraform · Ansible · Docker · Jenkins · GitHub Actions · Python / Boto3 · Prometheus / Grafana
AWS DevOps Engineer | Python & CI/CD | Cloud Infrastructure
3+ years of experience across AWS DevOps, Python automation, CI/CD, infrastructure as code, containers and production operations. My recent work includes AWS automation with Python/Boto3, Jenkins and GitLab pipelines, Terraform/CloudFormation, Docker/Kubernetes, monitoring, troubleshooting and security controls. fileciteturn677file0L6-L12
| Area | Resume-backed impact |
|---|---|
| Automation | Automated 10+ operational tasks and saved ~6 hours/week |
| CI/CD | Enabled 15+ weekly deployments and reduced manual release effort by 40% |
| Reliability | Supported 99.9% uptime and reduced incident detection time by 40% |
| Operations | Reduced MTTR from 45 to 31 minutes across 12 production microservices |
| Security | Reduced container vulnerabilities by 60% using Trivy/Snyk in CI/CD and ECR workflows |
| Mentoring | Mentored 3 junior developers and contributed to a reported 25% team-velocity improvement |
These figures are taken directly from the supplied resume. fileciteturn677file0L13-L24
DevOps Engineer — Loyalty Methods Pvt. Ltd. · Hyderabad · Feb 2024–Mar 2026
Python/Boto3/Shell automation, ECS/EC2/EBS validation and cleanup, inventory auditing, health checks, REST integrations, SQS, Jenkins/GitLab CI/CD, GitHub, Docker, ECR, Terraform, CloudFormation, Kubernetes, testing, RCA, IAM, Secrets Manager, CloudWatch, Grafana and ELK. fileciteturn677file0L42-L56 fileciteturn677file0L58-L73
DevOps Engineer — Relevance Lab Pvt. Ltd. · Bangalore · Oct 2022–Oct 2023
Python/Lambda automation, Amazon EKS/Kubernetes, Docker, Helm, Terraform, CloudFormation, Jenkins, GitLab CI/CD, Ansible, CloudWatch, Prometheus and Grafana across multi-namespace/multi-cluster environments. fileciteturn677file0L74-L90
- AWS Certified Cloud Practitioner (CLF-C01)
- Microsoft Azure Fundamentals (AZ-900)
- GUVI Python Certification
- AWS Certified Solutions Architect – Associate — In Progress
- Certified Kubernetes Administrator (CKA) — In Progress fileciteturn677file0L36-L41
| Repository | Focus |
|---|---|
| AWS Certified Solutions Architect Associate | AWS architecture, hands-on labs, scenario questions, mock exams and capstone |
| Kubernetes-EKS-Learning | 60-day Kubernetes/EKS curriculum, production operations, troubleshooting and capstone |
| Terraform | 60-day Terraform path from HCL fundamentals to AWS and enterprise patterns |
| Ansible | 60-day Ansible path from fundamentals to production automation |
| Python-Boto3 | Python from zero to Boto3 and AWS automation |
| Jenkins-CICD-AI-Monitoring | Jenkins, AWS infrastructure, CI/CD and monitoring |
AWS EC2 VPC S3 IAM ALB Route53 CloudFront RDS Lambda ECS EKS ECR CloudWatch
Terraform Ansible CloudFormation
Docker Kubernetes EKS ECS Helm Kind
Jenkins GitHub Actions Argo CD Git GitHub
Python Boto3 Bash YAML JSON
Prometheus Grafana Loki OpenSearch CloudWatch
IAM KMS Secrets Manager Security Groups Least Privilege
Infrastructure
- Reusable Terraform modules
- AWS networking and compute
- ECS/EKS platform foundations
- Multi-environment infrastructure
Automation
- Python/Boto3 inventory and reporting
- Ansible configuration management
- Linux automation
- Operational scripts and tooling
Delivery
- Jenkins pipelines
- GitHub Actions
- GitOps workflows
- Container build/deploy pipelines
Operations
- Kubernetes troubleshooting
- Monitoring and observability
- Reliability and recovery runbooks
- Security and configuration validation
A structured AWS learning repository with architecture diagrams, labs, decision guides, troubleshooting drills, scenario questions, mock exams and a capstone.
A practical Kubernetes/EKS path covering core Kubernetes, networking, security, storage, observability, autoscaling, GitOps and production operations.
A structured learning path from Terraform fundamentals through AWS infrastructure, modules, state, enterprise design and capstone projects.
A 60-day path covering inventory, playbooks, modules, variables, roles, templates, Vault, idempotency, CI validation, AWS inventory and production automation.
Starts from zero Python and progresses through Python automation, testing, Boto3, AWS inventory, multi-region/account patterns and production-oriented tooling.
Plan
↓
Code / IaC / Automation
↓
Validate → Lint → Security Checks → Test
↓
CI/CD
↓
AWS / Kubernetes / Containers
↓
Observe → Troubleshoot → Improve → Document
Discover → Validate → Plan → Apply → Verify → Report → Recover
I use this mindset across infrastructure and automation work:
- Prefer repeatable and idempotent changes
- Validate before applying
- Keep secrets out of source control
- Use least-privilege access
- Make failures visible
- Document troubleshooting and recovery
- Treat labs and production automation differently
- EKS Demo
- ECS Demo
- Multi-Branch Jenkins Pipelines
- Jenkins CI/CD + AI Monitoring
- AI Answer Agent
- JobOps AI
Cloud · Automation · Reliability · Continuous Learning