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Miguel Martinez Mestre

Fullstack Developer React/Node with Typescript. Currently studying a Degree in Information Systems at UPM.

Madrid, Community of Madrid

Overview 

Miguel Martinez Mestre is a Fullstack Developer specializing in React/Node with Typescript, currently pursuing a Degree in Information Systems at UPM. He has notable experience working as a Full Stack Developer at PTG and possesses skills in technologies like Mocha, Loopback, Amazon S3, and Docker. Highlights of Miguel's career include his proficiency in React/Node with Typescript and his ongoing education in Information Systems at UPM, showcasing a commitment to continuous learning and development in the field of technology.

Work Experience 

  • Full Stack Developer

    2022 - Current

    Participated in over 20 projects, taking on specific roles such as frontend, backend, fullstack, or DevOps. Backend application development with TypeScript in Node.js using LoopBack and MongoDB or MySQL Integration of Node.js applications with AWS S3, Stripe, ChatGPT API, and email sending Creation of unit tests for Node.js applications using Mocha Development of projects with .NET, jQuery, and SQL Server Development of a project in PHP using Symfony, Twig, and MySQL Development of a project with Flask, SQLAlchemy, and Postgres Implementation of application deployments using Bitbucket, Jenkins, Docker, Docker Compose, AWS ECR, Nginx, and Certbot Database diagram design with Draw.io Documentation of HTTP APIs with OpenAPI Integration of applications with external APIs Use of Slack to communicate with teammates Use of Google Meet for meetings Improvement of documentation on how to deploy a project Use of SonarQube to improve code quality Incident management in Helpdesk (Identify the issue, find a solution, apply it, and communicate the resolution) Change requests in Helpdesk (Identify the changes, estimate time, implement the changes, verify requirements, and deploy the changes) Review of pull requests and management of deployments across different environments Estimation of time required to complete specific tasks based on given requirements

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