DevOps Automation Engineer | AWS | Kubernetes | CI/CD | Cloud & IoT

name: Baniprasad Mangaraj
role: DevOps Automation Engineer
experience: 2.5+ years
company: Ajatus Software Pvt Ltd
location: Odisha, India
focus:
  - Cloud Automation
  - CI/CD Pipelines
  - Kubernetes Orchestration
  - IoT Architecture
  - Infrastructure as Code
  - Monitoring & Observability

I am passionate about building scalable, secure, and highly available cloud infrastructure. I specialize in automating everything to make deployments faster, safer, and more reliable.

💡 Philosophy: "Automate repetitively, innovate continuously"

• Design & maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions)
• Build & manage AWS cloud infrastructure
• Deploy & scale apps using Docker & Kubernetes
• Automate infra with Terraform & Ansible
• Implement monitoring, logging & alerting
• Build real-time IoT and serverless architectures

graph LR
    A[IoT Devices] -->|MQTT| B[AWS IoT Core]
    B --> C[Lambda Functions]
    C --> D[DynamoDB]
    C --> E[WebSocket API]
    E --> F[Real-time Dashboard]
    D --> G[Analytics]

Key Features:

• 🔄 Real-time RFID data processing with sub-second latency
• 🔐 Secure device authentication using X.509 certificates
• 📊 Live dashboards with WebSocket streaming
• 🚀 Auto-scaling architecture supporting 10K+ concurrent devices
• 📈 CloudWatch monitoring with custom metrics

♻️ Recycle Pay – Cloud Marketplace

Tech Stack: AWS EKS • GitHub Actions • Helm • Terraform • Prometheus

Architecture Highlights:

• 🏗️ Multi-AZ EKS cluster with auto-scaling node groups
• 🔄 GitOps-based deployments using GitHub Actions
• 📦 Helm charts for multi-environment consistency
• 🔍 Centralized logging with ELK stack
• 📊 Custom Grafana dashboards for business metrics

DevOps Achievements:

• ✅ 99.9% uptime with zero-downtime deployments
• ✅ 60% faster rollbacks with Helm versioning
• ✅ Automated security scanning in CI pipeline

🏭 Giovani Fabrics – ERP System

Tech Stack: Docker • Ansible • Jenkins • Linux • Nginx

Infrastructure Improvements:

• 🐳 Containerized monolithic application for consistency
• 🤖 Ansible playbooks for configuration management
• 🔄 Automated backup and disaster recovery
• 📈 Reduced deployment time from 2 hours to 15 minutes
• 🛡️ Improved system uptime from 95% to 99.5%

B.Tech in Mechanical Engineering
Gandhi Engineering College | 2015 – 2019

Transitioned from Mechanical to DevOps through self-learning and hands-on projects

💭 "Automate everything so humans can focus on innovation" 💭

Open for DevOps opportunities and collaborations!