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https://github.com/carllosnc/resume-json

Resume by json
https://github.com/carllosnc/resume-json

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Resume by json

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README 

          





  Resume JSON 📄






  Resume generator that uses JSON as the data source.




## How to use



Just call the command and pass the path to the data.json file.



```bash

bunx carllosnc/resume-json ./data.json

```



## Example



This is a example of an outputted resume.



**[👉 Example](https://github.com/carllosnc/resume-json/blob/master/RESUME-John-Doe.pdf)**



## data.json



`data.json` is the file that will be used as the data source for the resume.



```json

{

  "name": "John Doe",

  "header": {

    "position": "Senior Cloud DevOps Architect",

    "website": "johndoe.com",

    "github": "github.com/johndoe",

    "linkedin": "linkedin.com/in/johndoe"

  },

  "personal_info": {

    "title": "Personal Information",

    "info": [

      "01/01/1985",

      "(123) 456-7890",

      "New York, NY",

      "john.doe@example.com"

    ]

  },

  "skills": {

    "title": "Technical Skills",

    "description": "Results-driven Senior Software Engineer and Cloud DevOps Architect with 12+ years of experience in enterprise-scale applications, microservices architecture, and cloud infrastructure optimization.",

    "skill_section": [

      {

        "title": "Programming Languages & Frameworks:",

        "items": "Node.js, Python (Django, Flask), Java (Spring Boot), JavaScript/TypeScript, SQL (PostgreSQL, MySQL), MongoDB, Redis, RESTful APIs, GraphQL"

      },

      {

        "title": "Cloud & DevOps:",

        "items": "AWS (EC2, S3, Lambda, ECS, RDS), Azure (AKS, Functions), Docker, Kubernetes, Jenkins, CircleCI, GitLab CI, Infrastructure as Code (IaC), Terraform, Ansible, Prometheus, ELK Stack"

      }

    ]

  },

  "work_experiences": {

    "title": "Professional Experience",

    "experiences": [

      {

        "company": "TechCorp",

        "position": "Senior Software Engineer & Cloud Architect",

        "start_date": "Jan 2018",

        "end_date": "Dec 2022",

        "description": [

          "Architected and implemented microservices platform serving 1M+ daily users, resulting in 99.99% uptime and 60% reduction in response times",

          "Designed and deployed automated CI/CD pipelines using Jenkins and GitLab CI, reducing deployment time from 2 hours to 15 minutes and deployment failures by 75%",

          "Led migration of legacy monolithic application to containerized microservices using Docker and Kubernetes, resulting in 40% cost reduction in cloud infrastructure"

        ]

      },

      {

        "company": "WebSolutions",

        "position": "DevOps Engineer Team Lead",

        "start_date": "Jun 2015",

        "end_date": "Dec 2018",

        "description": [

          "Orchestrated cloud infrastructure automation using Terraform and Ansible, reducing provisioning time by 85% and human error by 90%",

          "Implemented comprehensive monitoring solution using Prometheus, Grafana, and ELK Stack, achieving 95% faster incident response time",

          "Mentored team of 5 junior DevOps engineers and established best practices, resulting in 30% improvement in team productivity"

        ]

      },

      {

        "company": "DataStream",

        "position": "Full Stack Software Engineer",

        "start_date": "Mar 2013",

        "end_date": "May 2015",

        "description": [

          "Developed scalable RESTful APIs processing 500K+ daily requests with average response time under 100ms",

          "Optimized database performance through query tuning and indexing, reducing average query time by 70%",

          "Implemented OAuth2 authentication and role-based access control (RBAC), ensuring secure access for 50K+ users"

        ]

      },

      {

        "company": "NetSolutions",

        "position": "Software Developer",

        "start_date": "Jul 2011",

        "end_date": "Feb 2013",

        "description": [

          "Developed and maintained full-stack web applications using JavaScript, PHP, and MySQL, serving 10K+ daily active users",

          "Implemented automated testing suite achieving 85% code coverage and reducing bug reports by 40%",

          "Collaborated in agile development environment, consistently delivering 95% of sprint commitments"

        ]

      }

    ]

  },

  "educations": {

    "title": "Education",

    "items": [

      {

        "school": "State University",

        "location": "New York, NY",

        "degree": "Bachelor of Science in Computer Science",

        "start_date": "2008",

        "end_date": "2012"

      },

      {

        "school": "Tech Institute",

        "location": "San Francisco, CA",

        "degree": "Master of Science in Software Engineering",

        "start_date": "2013",

        "end_date": "2015"

      }

    ]

  },

  "extras": {

    "title": "Additional Information",

    "items": [

      "AWS Certified Solutions Architect - Professional & DevOps Engineer - Professional",

      "Led technical workshops at major conferences including AWS re:Invent, DevOps Days, and PyCon",

      "Open source contributor to Kubernetes and Terraform projects",

      "Patents: Co-inventor of two pending patents in distributed systems and cloud architecture"

    ]

  }

}

```



## data.json and types



Use that script to generate the `data.json` file following the `Resume` type.



**gen-data.ts**

```ts

export type Resume = {

  name: string;

  header: {

    position: string;

    website?: string;

    github?: string;

    linkedin?: string;

  },

  personal_info: {

    title: string,

    info: string[]

  },

  skills: {

    title: string,

    description: string;

    skill_section: {

      title: string;

      items: string;

    }[]

  },

  work_experiences: {

    title: string,

    experiences: {

      company: string,

      position: string,

      start_date: string,

      end_date: string,

      description: string[]

    }[]

  },

  educations: {

    title: string,

    items: {

      school: string,

      degree: string,

      location: string,

      start_date: string,

      end_date: string,

    }[]

  },

  extras: {

    title: string,

    items: string[]

  }

};



const data: Resume = {

  "name": "",

  "header": {

    "position": "",

    "website": "",

    "github": "",

    "linkedin": ""

  },

  "personal_info": {

    "title": "",

    "info": []

  },

  "skills": {

    "title": "",

    "description": "",

    "skill_section": [

      {

        "title": "",

        "items": ""

      },

    ]

  },

  "work_experiences": {

    "title": "",

    "experiences": [

      {

        "company": "",

        "position": "",

        "start_date": "",

        "end_date": "",

        "description": []

      },

    ]

  },

  "educations": {

    "title": "Education",

    "items": [

      {

        "school": "",

        "location": "",

        "degree": "",

        "start_date": "",

        "end_date": "",

      },

    ]

  },

  "extras": {

    "title": "Additional Information",

    "items": []

  }

}



const path = "./data.json"

await Bun.write(path, JSON.stringify(data, null, 2))

```



Execute the script:



```bash

bun ./gen-data.ts

```



## What's inside?



- bun

- react

- react-pdf



## Development



generate data.json:



```bash

bun run gen

```



generate resume pdf:



```bash

bun dev

```



## Resume checker



The example provided of resume performs very well on resume checker.



https://www.resumego.net/resume-checker/






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Carlos Costa @ 2025