[Current Focus: AWS | GCP | Kubernetes | CI/CD Automation | Infrastructure as Code]
Passionate about building scalable, secure, and self-healing infrastructure. Transforming manual workflows into high-velocity automated pipelines with atomic deployments and security-first engineering.
DevOps and Cloud Engineer with 2+ years of hands-on experience in automating secure cloud infrastructure, building robust CI/CD pipelines, and orchestrating containerized environments. Proven track record in:
- β 70% reduction in manual deployment times using Terraform & AWS
- β 99.99% uptime optimization with Kubernetes & automated scaling
- β Release cycles reduced from days to hours with Jenkins & GitHub Actions
- β 40% reduction in infrastructure incidents via DevSecOps best practices
- β 50% faster developer onboarding through containerized workflows
- β 35% increase in release frequency with zero manual deployment errors
| Category | Expertise |
|---|---|
| Cloud Platforms | AWS, GCP |
| Infrastructure as Code | Terraform (Modular design), AWS CloudFormation (CF), Ansible (Config Management) |
| Containerization & Orchestration | Docker (Image optimization), Kubernetes (Cluster management), ECS Fargate, EKS, GKE, Helm |
| CI/CD & Automation | GitHub Actions, Jenkins, GitLab CI, ArgoCD |
| Observability & Monitoring | Prometheus, Grafana, CloudWatch, ELK Stack, DataDog |
| Languages & Scripting | Python (Automation scripts), Bash, Shell scripting, Go (Learning), C, C++ |
| Development & Databases | HTML, CSS, JavaScript, Flask, PostgreSQL, MySQL, SQLite, DynamoDB |
| Security & Compliance (DevSecOps) | Trivy, SonarQube, Aqua Security, OWASP, IAM, SAST/DAST, HashiCorp Vault, Snyk, Security Scanning |
Quantiphi β Mumbai, India (Remote) | Sep 2021 β Nov 2022
- ποΈ Infrastructure Automation: Architected and automated cloud infrastructure on AWS using Terraform, resulting in 70% reduction in manual provisioning time
- π¦ Containerization & Orchestration: Containerized legacy monoliths using Docker and orchestrated resilient deployments with Kubernetes, achieving 99.99% uptime with automated scaling
- π CI/CD Pipelines: Designed and integrated end-to-end CI/CD pipelines utilizing Jenkins and GitHub Actions, cutting release cycles from days to hours
- π DevSecOps Implementation: Implemented security-first safeguards using least-privilege IAM, secure network isolation, and automated bot mitigation, resulting in 40% reduction in infrastructure incidents
Quantiphi β Mumbai, India (Remote) | Mar 2021 β Aug 2021
- π³ Developer Experience Improvement: Streamlined dev/QA environments by containerizing workflows with Docker Compose, achieving 50% faster developer onboarding
- βοΈ Pipeline Automation: Automated pipeline builds using Jenkins and GitHub Actions, resulting in 35% increase in release frequency with zero manual deployment errors
- π Cloud Infrastructure: Provisioned secure cloud infrastructure on AWS EC2, optimized security groups, ALB load balancing, and network routing
- π Documentation & Peer Review: Authored comprehensive infrastructure-as-code documentation and conducted Git peer reviews, resulting in 25% improvement in cross-team onboarding efficiency
- Tech Stack: Terraform, AWS (S3, CloudFront, Lambda, DynamoDB), GitHub Actions
- Architecture: Serverless messaging backend with honeypot anti-bot security
- Key Achievements:
- Automated global-edge cloud infrastructure provisioning utilizing Terraform IaC
- Integrated automated continuous deployment (CD) pipeline via GitHub Actions
- Implemented security-first engineering with atomic deployments
- Self-healing infrastructure patterns for production reliability
- Problem: Manual deployments were error-prone and time-consuming
- Solution: Built a fully automated CI/CD pipeline with GitHub webhooks + Jenkins on AWS EC2
- Tech Stack: Jenkins, GitHub, Python (Flask), Node.js (Express), PM2, pytest
- Outcomes:
- Automated code checkout, dependency installation, unit testing
- Reduced deployment errors to zero
- Increased release frequency by 35%
- Skills Demonstrated: Pipeline orchestration, webhook integration, process management
- Challenge: Complex infrastructure provisioning and multi-container orchestration at scale
- Solution: Comprehensive Terraform IaC for Flask backend + Express frontend deployment
- Architecture: VPC, ALB (path-based routing), ECR, ECS Fargate, CloudWatch logging
- Tech Stack: Terraform, Docker, AWS (VPC, ALB, ECS, ECR, CloudWatch)
- Achievements:
- Production-grade infrastructure with automated deployment pipelines
- Self-documenting IaC with modular design patterns
- Automated scaling and high availability
- Skills Demonstrated: IaC best practices, containerization, serverless computing, advanced networking
- Tech Stack: Kubernetes, Docker, Python (Flask), Node.js (Express)
- Architecture: Highly available microservices with container orchestration
- Key Achievements:
- Orchestrated highly available frontend and backend microservice workloads
- Containerized multi-stack applications using multi-stage Dockerfiles
- Authored declarative Kubernetes manifests for scaling, services, and networking
- Deployed across local and cloud Kubernetes environments (EKS/GKE)
- PG-DAC, Software Development β Centre for Development of Advanced Computing (C-DAC), Mumbai, India
- B.E., Electronic and Telecommunications Engineering β Savitribai Phule Pune University, Pune, India
- π AI-Powered DevOps β KodeKloud (ID: 79473108-c5c7-4345-8235-58a7d496d00f) | Verify Credential
- π DevOps Course β Tutedude (ID: TD-SHUB-DO-2308) | Verify Credential
- π DevOps Training β TWS (ID: NGS4PMHG) | Verify Credential
- π Advanced Kubernetes Patterns - Preparing for CKAD certification
- βΈοΈ Service Mesh Technologies - Istio, Linkerd, and traffic management
- π Advanced Observability - Datadog, New Relic, distributed tracing
- π Zero-Trust Security Architecture - BeyondCorp principles
- π GitOps Best Practices - ArgoCD, Flux, and declarative infrastructure
- β‘ Serverless Optimization - AWS Lambda patterns and cost optimization
- Security-First Approach: Implementing SAST/DAST tools (Trivy, SonarQube, Aqua Security) and secrets management (HashiCorp Vault, Snyk)
- Least-Privilege Access Control: Enforcing strict IAM policies and secure network isolation (VPC, security groups)
- Automation Excellence: Infrastructure as Code with Terraform, configuration management with Ansible, policy-as-code
- Cost Optimization: Utilizing AWS Trusted Advisor, automated resource cleanup, cost analysis and optimization
- Observability & Monitoring: Building comprehensive monitoring and alerting strategies with Prometheus, Grafana, CloudWatch, and Datadog
- Documentation as Code: Clear, versioned, and actionable documentation with GitOps principles
- π€ Collaborations: Infrastructure projects, DevOps tooling, open-source contributions
- π Mentoring: Help aspiring DevOps engineers and cloud architects
- π‘ Discussions: Cloud architecture, DevOps best practices, infrastructure design
- π€ Speaking: Tech talks about DevOps automation, cloud security, and IaC patterns
- π Knowledge Sharing: Articles, tutorials, and learning resources for the community
- cloud-native-portfolio - β Terraform + Serverless showcase with GitHub Actions CI/CD
- k8s-simple-frontend-backend - Kubernetes deployment patterns and microservices orchestration
- flask-express-cicd-jenkins - End-to-end CI/CD automation with Jenkins and GitHub webhooks
- Terraform-for-Deploying-Simple-Frontend-Backend-App-Using-Docker-AWS-VPC-ECR-and-ECS-Fargate - Advanced Terraform IaC with AWS services
| Level | Expertise | Tools |
|---|---|---|
| π’ Expert | Production-ready implementations | Kubernetes, Terraform, Jenkins, GitHub Actions, AWS (EC2, VPC, ALB, Lambda) |
| π‘ Proficient | Strong hands-on experience | Docker, Ansible, GCP, Prometheus, Grafana, CloudWatch |
| π΅ Familiar | Good working knowledge | Datadog, Snyk, HashiCorp Vault, GitLab CI, ArgoCD, Helm |
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Ideal Role: DevOps Engineer | Cloud Engineer | DevSecOps Engineer
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Company Type: Tech startups, cloud-native companies, fintech, or tech-forward enterprises
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Key Interests:
- Infrastructure and automation initiatives
- Focus on security, scalability, and reliability
- Collaborative and learning-friendly team environment
- Opportunities to mentor junior engineers
- Work with cutting-edge cloud and DevOps technologies
- π Passionate about building self-healing and resilient infrastructure
- π Continuous learner - Completed 3 DevOps certifications and actively pursuing new skills
- π¬ Active in DevOps communities and love sharing knowledge
- βοΈ Philosophy: "You build it, you run it" β Werner Vogels (Embracing operational excellence)
- π Goal: Make DevOps and infrastructure automation accessible to everyone
- π± Advocate for infrastructure-as-code, security-first, and GitOps practices