Yazid Daoudi

Senior Fullstack Engineer & Tech Lead

PDF Resume

"8 years of experience in designing scalable web architectures. JavaScript/TypeScript expert with a strong DevOps culture, now integrating generative AI at the heart of development workflows."

Professional Experience

02/2025 - 09/2025

Béziers, France

Technical Lead

AGNOSTIC PRODUCTION SYSTEM

APS develops a modular and Plug&Play software ecosystem dedicated to factory management.

  • Technical team upskilling and mentorship
  • Design and implementation of UIs (Figma, React, Tailwind, TypeScript)
  • System design and architecture (SysML, UML)
  • Setup of development environment and CI/CD (Portainer, Traefik, Docker, GitLab)
React Node.js TypeScript MQTT Python Agile/Scrum

05/2022 - 09/2024

Paris, France

Senior Full Stack Developer

Coalesce catalog

Coalesce catalog is an AI-powered data catalog SaaS platform that helps teams find, understand, document, and govern their data.

  • Design and integration of new fullstack features
  • Development of React features
  • Integration of REST and GraphQL APIs
  • Application of best practices (TDD, clean architecture) to reduce technical debt
React Node.js TypeScript GraphQL Git Agile/Scrum

08/2020 - 04/2022

Paris, France

CTO

Elmut

Elmut prepares and delivers fresh, balanced, and personalized meals for dogs and cats at home, made with human-grade ingredients.

  • Design and development from scratch of a complete e-commerce solution with integrated back-office
  • Fullstack development of e-commerce platform with Next.js and TypeScript
  • Integration of strategic APIs: Chronofresh, Stripe, Google Analytics
  • Implementation of complete back-office via Forest Admin (operational management and workflows)
  • Robust Node.js architecture with REST APIs (scalability and maintenance)
React.js Node.js TypeScript Next.js Stripe Forest Admin Prisma

06/2018 - 08/2019

Paris, France

Data Engineer

Orange

International telecommunications group providing mobile, internet, TV services and digital solutions to individuals and businesses.

  • Development of Big Data architecture for mobile network department
  • Big Data processing pipelines with Spark (Envelope) and Flink
  • Real-time streaming architecture with Kafka
  • Implementation of batch processing jobs (Pig and Hive)
  • Workflow orchestration via Oozie and monitoring with Grafana
Scala Python Apache Spark Apache Flink Kafka Pig Hive Oozie Grafana