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prithibi-saha02/README.md

Prithibi Saha

DevOps Engineer · Spark Technology Group · Noida, India

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👨‍💻 About Me

I'm a DevOps Engineer at Spark Technology Group with 2+ years of hands-on experience in cloud infrastructure automation, CI/CD pipeline development, and enterprise-level client infrastructure management. I specialize in bridging development and operations — driving faster delivery, higher system reliability, and measurable operational efficiency through intelligent automation.

My work spans the full DevOps lifecycle: architecting GitLab CI/CD pipelines that cut deployment cycles by 30%, leading backend migrations to AWS achieving 99.9% uptime, building AI-driven incident response systems that reduced MTTR by 35%, and managing multi-client infrastructure for mission-critical telephony platforms serving 1,500+ concurrent users.

  • 🚀 Architected GitLab CI/CD pipelines reducing deployment cycles by 30% and incidents by 95%
  • ☁️ Led AWS cloud migrations with 99.9% uptime and zero data loss during transition
  • 🤖 Built Python automation scripts cutting manual operational overhead by 40%
  • 📊 Implemented AI-driven predictive monitoring reducing MTTR by 35%
  • 🔐 Delivered security-hardened infrastructure with SonarQube, IAM controls & compliance-ready hybrid cloud integrations
  • 🏗️ Managed end-to-end multi-client infrastructure for enterprise telephony platforms
  • 🎓 MCA from IGNOU | Agile SDLC & DevOps Certified Professional

🛠️ Technical Stack

☁️ Cloud Platforms & Infrastructure

AWS EC2 S3 IAM

🔁 CI/CD & Automation

GitLab CI Jenkins Git

🏗️ Infrastructure as Code & Config Management

Ansible Terraform Vagrant

☸️ Containers & Orchestration

Docker Docker Compose Kubernetes Nginx

📊 Monitoring, Observability & Logging

Prometheus Grafana Elasticsearch Kibana Filebeat

🔐 DevSecOps

SonarQube Trivy

💾 Databases & Caching

PostgreSQL MongoDB Redis Elasticsearch

🧑‍💻 Languages & Scripting

Python Bash C++ HTML5

🐧 OS & System

Linux Ubuntu Debian


🔍 Core Competencies

Domain What I Do
CI/CD Pipelines GitLab CI/CD & Jenkins pipeline design from scratch; multi-stage build, test, scan & deploy; rollback strategies; 30% faster deployments
Cloud Infrastructure AWS (EC2, S3, IAM) provisioning; on-prem to cloud migrations; high-availability architecture; 99.9% uptime delivery
Containers & Orchestration Docker & Docker Compose for microservices; Kubernetes cluster management; container registry & image lifecycle
Monitoring & Observability EFK Stack (Elasticsearch, Filebeat, Kibana) log management; Prometheus + Grafana dashboards; alerting & MTTR reduction
DevSecOps SonarQube static analysis; Trivy container scanning; shift-left security; compliance-ready hybrid cloud integrations
IaC & Config Management Ansible configuration management; Terraform provisioning; Bash & Python automation cutting manual toil by 40%
Database Administration PostgreSQL, MongoDB, Redis, Elasticsearch — performance tuning, query optimization, operational support

🏆 Key Achievements

Real numbers from production environments at Spark Technology Group

Metric Result
🚀 Deployment cycle speed 30% faster via GitLab CI/CD pipeline automation
🛡️ Deployment-related incidents 95% reduction across production & staging environments
⚙️ Manual operational tasks eliminated 40% decrease through Python automation scripts
☁️ System uptime post-AWS migration 99.9% uptime with zero data loss
📈 System performance improvement 25% via AWS monitoring & security controls
🔥 Mean Time to Recovery (MTTR) 35% reduction via AI-driven predictive monitoring
🏗️ Platform availability (Telephony) 99.8% for 1,500+ concurrent users
⏱️ Incident response time 50% reduction via automated remediation

💼 Featured Project

🔧 Enterprise Telephony Platform — DevOps Infrastructure

Mission-critical telephony portal serving 1,500+ concurrent users with high-availability requirements

  • Engineered a complete build → test → deploy automation pipeline using GitLab CI/CD and Docker
  • Implemented comprehensive monitoring and alerting achieving 99.8% platform availability
  • Reduced incident response time by 50% through proactive monitoring and automated remediation
  • Managed load balancing, Nginx reverse proxy, and database layers for production resilience

Stack: GitLab CI/CD · Docker · Linux · PostgreSQL · Nginx · Elasticsearch · Grafana · Prometheus


🎓 Education & Certifications

Qualification Institution Year
🎓 Master of Computer Application (MCA) Indira Gandhi National Open University (IGNOU) 2023 – 2025
🎓 Bachelor of Computer Application (BCA) Indira Gandhi National Open University (IGNOU) 2020 – 2023
Certification Focus
📜 Mastering DevOps: Fundamentals to Advanced CI/CD, Containerization, Cloud Infrastructure, Automation
📜 Software Engineering with Agile SDLC Agile Methodologies, Project Management, Team Collaboration

📈 Currently Learning

  • 🌐 Service Mesh — Istio for microservices traffic management and observability
  • 🤖 GitOps — ArgoCD & FluxCD for declarative continuous delivery
  • ☁️ Cloud-native security — AWS Security Hub & advanced IAM strategies
  • 🏗️ Advanced Terraform — modules, remote state, and multi-environment workspace strategies

📊 GitHub Stats

GitHub Streak



GitHub Stats



Top Languages

📫 Let's Connect

I'm always open to discussing DevOps best practices, cloud architecture, infrastructure automation, and collaboration opportunities. Reach out via LinkedIn or drop me a mail at [email protected] — let's build something reliable together.

"Automate everything. Monitor everything. Secure everything. Break nothing."

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