Data Engineer & Backend Developer focused on building clean, scalable, and maintainable systems — from APIs to industrial data pipelines.

🎓 Computer Engineering student at UNED
📍 Comunitat Valenciana, Spain
🏭 Currently operating data architectures in industrial multi-plant environments
🏗️ Passionate about Clean Architecture, Domain-Driven Design & Data Infrastructure

I build systems where clarity is the feature. Whether it's a backend API or a data pipeline feeding AI agents, I design for the person who inherits the code six months from now.

Currently, I operate at the intersection of data engineering and backend development in an industrial manufacturing environment. I design modular documentation pipelines that power AI agents, maintain production SQL Server architectures, and apply clean architecture principles to data systems that need to survive the long term.

I care about:

• Clear architecture (code and data)
• Separation of concerns
• Well-defined APIs & data contracts
• Maintainability over hype
• Systems that don't break when the person who built them is on vacation

Data Engineering @ Industrial Multi-Plant Environment

• Designing modular, scalable documentation pipelines that feed AI agents and reduce operational friction
• Maintaining and optimizing production SQL Server architectures across integrated systems (SAP · MesBook · Winbox · Minda)
• Applying clean architecture principles to data systems — because data infrastructure deserves the same care as application code
• Driving AI adoption in IT through knowledge bases and intelligent agents

• Architecture-first mindset (for code and data)
• SOLID principles
• RESTful API design
• Modular, pipeline-based systems
• Dependency injection
• Focus on domain logic over frameworks
• Data systems that are observable, maintainable, and boring (in the good way)

"Code is like humor. When you have to explain it, it's bad." – Cory House