DevOps
Engineer

Honey
Jakundiya

ABOUT ME

As a dedicated and strategic AWS and DevOps Engineer, I am passionate about transforming complex business needs into innovative, scalable, and cost-efficient cloud solutions. My expertise lies in analyzing existing environments, identifying optimal technologies, and crafting effective and detailed technical blueprints to guide the deployment and management of cloud-based applications. With a keen eye for detail and a strategic mindset, I excel in designing robust architectures, automating CI/CD pipelines, and optimizing infrastructure costs while maintaining clear communication with stakeholders throughout the project life-cycle. I am committed to bridging the gap between technical and non-technical stakeholders, ensuring their diverse needs are met and effectively integrated into project plans. My day-to-day tasks involve maintaining applications on AWS, leveraging containerization tools like Docker and Kubernetes, automating infrastructure provisioning with Terraform, and monitoring using CloudWatch and ELK Stack. I thrive in leadership roles, guiding teams through design reviews, concept validation, and continuous process improvements while advocating for innovative solutions that align with strategic business objectives.

BADGES AND CERTIFICATIONS

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Professional Cloud Architect

Google

Issued 17/02/25

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Github Foundations - Certificate

Github

Issued 11/17/24

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AWS Cloud Quest: Cloud Practitioner

Amazon Web Services

Issued 7/16/24

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Cybersecurity Essentials

Cisco

Issued 2/23/21

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AWS Knowledge: Cloud Essentials

Amazon Web Services

Issued 7/18/24

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AWS Introduction to Cloud 101

Amazon Web Services

Issued 8/24/24

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AWS Getting Started with Storage

Amazon Web Services

Issued 8/24/24

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Linux Fundamentals

Coursera - LearnQuest

Issued 7/01/24

RESUME

HONEY JAKUNDIYA

DevOps Engineer

+91*********

Github

Linkedin

As a strategic DevOps Engineer, I specialize in transforming complex business needs into scalable, cost-efficient cloud solutions. I excel in analyzing environments, selecting optimal technologies, designing robust architectures, automating CI/CD pipelines, and optimizing infrastructure costs, all while maintaining clear stakeholder communication.

WORK EXPERIENCE

AWS AND DEVOPS ENGINEER

YEAR

PROJECTS

  • DEPLOYED APPLICATIONS ON AWS ECS USING DOCKER FOR CONTAINERIZATION AND ECR FOR IMAGE STORAGE. AUTOMATED CI/CD PIPELINES WITH JENKINS AND GITLAB CI/CD TO STREAMLINE BUILD, TEST, AND DEPLOYMENT PROCESSES.
  • MANAGED AWS RESOURCES LIKE EC2, S3, AND RDS, ENSURING HIGH AVAILABILITY AND SCALABILITY. OPTIMIZED COSTS USING AUTO-SCALING AND RESERVED INSTANCES, AND SET UP CLOUDWATCH FOR REAL-TIME MONITORING.
  • CONDUCTED SECURITY AUDITS, ENFORCED IAM POLICIES, AND FOLLOWED AWS BEST PRACTICES TO ENSURE COMPLIANCE, RELIABILITY, AND PERFORMANCE.



AWS AND DEVOPS ENGINEER

YEAR

PROJECTS

  • MIGRATED APPS TO AWS USING DOCKER AND ECS.
  • CONFIGURED RDS AND S3 FOR DATA MANAGEMENT. IMPLEMENTED ELK STACK FOR CENTRALIZED LOGGING AND MONITORING.
  • AUTOMATED INFRASTRUCTURE WITH TERRAFORM. PROVIDED 24/7 SUPPORT TO ENSURE MINIMAL DOWNTIME.

HARD SKILLS

  1. MULTI-CLOUD
  2. INFRASTRUCTURE AS CODE
  3. CONTAINERIZATION
  4. CI/CD PIPELINES
  5. NETWORKING
  6. SECURITY
  7. SYSTEM DESIGN
  8. CONFIGURATION MANAGEMENT
  9. LINUX
  10. MONITORING AND LOGGING
  11. SCRIPTING & AUTOMATION
  12. DATA MANAGEMENT
  13. SERVERLESS COMPUTING
  14. LOAD TESTING & PERFORMANCE
  15. COST OPTIMIZATION
  16. VIRTUALIZATION
  17. STORAGE SOLUTIONS
  18. BACKUP & DISASTER RECOVERY

EDUCATION

BSC IN COMPUTER SCIENCE

2019

CHHATRAPATI SHAHU JI MAHARAJ UNIVERSITY, KANPUR




HIGHER SECONDARY SCHOOL

2013

MADHYA PRADESH BOARD, NAGDA

SKILLS

  1. AWS SERVICES
  2. JENKINS, GITHUB ACTIONS, GITLAB, ARGO CD
  3. DOCKER, KUBERNETES
  4. TERRAFORM ANSIBLE
  5. PROMETHEUS, GRAFANA
  6. TIME MANAGEMENT
  7. GIT, GITHUB

PROJECTS AND WRITINGS

Declarative Pipeline in Jenkins

The Jenkins CI/CD pipeline demonstrates a simple yet effective workflow for automating the development and deployment of a Django application. This project integrates GitHub for version control, Docker for containerization, and Jenkins for orchestration, creating a reliable pipeline to automate build, test, and deploy stages. While not production-ready, this project showcases the fundamental principles of CI/CD and highlights how automation can eliminate manual tasks, reduce human errors, and accelerate iterative development. The pipeline serves as a foundation for further enhancements, offering a scalable starting point for evolving project needs and more complex deployments in the future.

GitHub to Kubernetes via ArgoCD

This GitOps pipeline demonstrates an automated deployment workflow that connects GitHub repositories to Kubernetes clusters using ArgoCD. The integration combines GitHub's version control capabilities with Kubernetes container orchestration and ArgoCD's continuous deployment features. Following GitOps best practices, the system maintains application state through declarative configurations while offering key functionalities like automatic synchronization, configuration drift detection, and self-healing mechanisms. Although this implementation is intended for demonstration purposes rather than production use, it effectively illustrates how automated pipelines can simplify deployments and reduce manual tasks. The architecture serves as a foundation for building more advanced deployment systems, showcasing the value of GitOps methods in modern DevOps practices.

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