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Full Stack Developer focused on building production-ready data applications and distributed systems. I design scalable microservices architectures, event-driven systems, and analytics platforms. I work across frontend and backend (Node.js/NestJS, React/Next.js) and data engineering (Kafka/Airflow/Spark, lakehouse, BigQuery), using Docker and solid engineering practices to deliver reliable, scalable solutions.…Full Stack Developer focused on building production-ready data applications and distributed systems. I design scalable microservices architectures, event-driven systems, and analytics platforms. I work across frontend and backend (Node.js/NestJS, React/Next.js) and data engineering (Kafka/Airflow/Spark, lakehouse, BigQuery), using Docker and solid engineering practices to deliver reliable, scalable solutions.

Mounir Tiaira

Full Stack Developer, Web Developer, Front-End Developer, +4

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Full Stack Developer focused on building production-ready data applications and distributed systems. I design scalable microservices architectures, event-driven systems, and analytics platforms. I work across frontend and backend (Node.js/NestJS, React/Next.js) and data engineering (Kafka/Airflow/Spark, lakehouse, BigQuery), using Docker and solid engineering practices to deliver reliable, scalable solutions.…Full Stack Developer focused on building production-ready data applications and distributed systems. I design scalable microservices architectures, event-driven systems, and analytics platforms. I work across frontend and backend (Node.js/NestJS, React/Next.js) and data engineering (Kafka/Airflow/Spark, lakehouse, BigQuery), using Docker and solid engineering practices to deliver reliable, scalable solutions.

Available to hire

Full Stack Developer focused on building production-ready data applications and distributed systems. I design scalable microservices architectures, event-driven systems, and analytics platforms.

I work across frontend and backend (Node.js/NestJS, React/Next.js) and data engineering (Kafka/Airflow/Spark, lakehouse, BigQuery), using Docker and solid engineering practices to deliver reliable, scalable solutions.