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Cloud-Sahil/README.md

Typing SVG


🙋‍♂️ About Me

┌──────────────────────────────────────────────┐
│  whoami       : Sahil Ubhe                   │
│  location     : India 🇮🇳                     │
│  role         : DevOps Engineer Intern       │
│  company      : Hisan Labs Pvt. Ltd.         │
│                                              │
│  currently_learning:                         
│    - Kubernetes & Helm Charts                │
│    - Terraform & Infrastructure as Code      │
│    - GitOps & ArgoCD                         │
│    - Cloud Security Best Practices           │
│                                              │
│  open_to:                                    
│    - Collaborations & Open Source            │
│    - Freelance DevOps Projects               │
│    - Cloud Architecture Discussions          │
│                                              │
│  fun_fact: coffee + terminal = production 🚀 │
└──────────────────────────────────────────────┘

I'm a passionate Cloud & DevOps Engineer who loves automating everything that can be automated. Currently working at Hisan Labs Pvt. Ltd. where I manage real production AWS infrastructure, build CI/CD pipelines, and orchestrate containerized workloads on Kubernetes.

I strongly believe in the "automate first" mindset — if you're doing something manually more than twice, it deserves a script. I enjoy solving complex infrastructure problems, optimizing deployment workflows, and building systems that are scalable, secure, and observable.

  • 🔭 Currently working on cloud-native projects & production AWS infrastructure
  • 🌱 Deep diving into Kubernetes, Terraform & GitOps workflows
  • 💬 Ask me about Linux, AWS, Docker, DevOps, CI/CD
  • 📫 Reach me at sahilubhe7911@gmail.com
  • ⚡ Fun fact: I debug infra faster with coffee ☕
  • 🎯 Goal: Contribute to major open-source DevOps tools

💼 Work Experience

🏢 Hisan Labs Pvt. Ltd. — DevOps Engineer Intern

📅 July 2025 – Present

Building and managing production-grade cloud infrastructure on AWS, handling everything from VPC design to CI/CD automation and Kubernetes orchestration.

  • ☁️ Managed AWS infrastructure including EC2, VPC, IAM, S3, RDS, Route53, CloudFront and Auto Scaling Groups for scalable, highly available production systems
  • 🔐 Configured Amazon VPC with public/private subnets, NAT Gateways, Elastic Load Balancers, and Security Groups for secure and isolated network architecture
  • 📊 Set up CloudWatch and Datadog for real-time monitoring, alerting, and log management to maintain system uptime across environments
  • 🛡️ Applied AWS security best practices: IAM least-privilege, Secrets Manager, KMS encryption, CloudTrail auditing, and NACLs for layered access control
  • 🐳 Containerized applications using Docker and orchestrated workloads on Kubernetes EKS clusters — managing Pods, Deployments, Services, and ConfigMaps
  • 🔄 Built and maintained CI/CD pipelines using Jenkins and GitHub Actions, automating build, test, and release workflows — reducing manual deployment effort significantly
  • 🐧 Administered Linux (Ubuntu) servers handling user management, file permissions, cron scheduling, and log rotation for stable production operations
  • 🔍 Performed root cause analysis on infrastructure failures, documented resolutions, and implemented preventive measures

🚀 Featured Projects

A fully containerized CRUD application demonstrating real-world Docker usage from dev to production.

Feature Detail
🐳 Containerization Full-stack app dockerized end-to-end
📦 Dependency Mgmt Isolated container environments
🔄 Dev-to-Prod Consistent environment across all stages

🛠️ Stack: Docker Node.js MongoDB


Infrastructure as Code project demonstrating automated AWS resource provisioning using Terraform.

Feature Detail
⚙️ IaC Infrastructure defined and managed using Terraform code
☁️ AWS Setup Automated provisioning of services like EC2, VPC, and S3
🔁 Reusability Modular and reusable Terraform configurations
📦 State Mgmt Remote state handling and resource tracking

🛠️ Stack: Terrafrom AWS HCL


End-to-end cloud-native deployment using AWS and Kubernetes — closest to a real production setup.

Feature Detail
🚀 EKS Deployment App deployed on a managed EKS cluster
🗄️ Database RDS integration with persistent storage
🐳 Containerized Dockerized services deployed via EC2
📐 Architecture Scalable, fault-tolerant cloud setup

🛠️ Stack: AWS EKS RDS EC2 Docker MySQL MongoDB Kubernetes



🛠️ Tech Stack & Tools

☁️ Cloud & DevOps

📦 Containerization & Orchestration

⚙️ CI/CD & Version Control

🏗️ Infrastructure as Code

📊 Monitoring & Observability

🔍 Code Quality

💻 Programming & Tools


📊 GitHub Stats

Activity Graph



📈 Skill Levels

Technology Progress Level
🔧 Linux Administration █████████░ 90% Expert
☁️ AWS / Cloud ████████░░ 80% Advanced
🐳 Docker ████████░░ 80% Advanced
🔄 CI/CD (Jenkins, GH Actions) ███████░░░ 70% Proficient
🐍 Python & Bash Scripting ███████░░░ 70% Proficient
⚙️ Kubernetes & EKS ██████░░░░ 60% Intermediate
🌿 Terraform ██████░░░░ 60% Intermediate
📊 Monitoring (Datadog, CW) ███████░░░ 70% Proficient

🐍 My GitHub Contribution Snake

GitHub Contribution Snake

💡 Dev Quote of the Day

Quote


🤝 Let's Connect



I love connecting with amazing people! Feel free to say hi 👋 — I'll be happy to chat about cloud, DevOps, or anything tech!



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