Data Engineering
Resilient ETL design, orchestration, and performance optimization across legacy and modern stacks.
- Batch and near-real-time pipelines
- Airflow orchestration and migration
- PySpark and distributed data processing
Open to Data & AI Engineering Opportunities
Data & Agentic Engineer focused on high-performance ETL, data platforms, and autonomous AI workflows.
I design and optimize data systems that scale. Today I build production ETL pipelines at NTT DATA and expand into agentic engineering with reliable tool-calling workflows.
3+ years of professional experience in Data Engineering (since June 2022)
- Current Role
- Data Engineer at NTT DATA Europe & LATAM
- Location
- Based in Spain
Current Focus
Engineering Domains I Build In
My work combines data pipeline reliability with agentic workflow experimentation and production delivery practices.
Agentic Engineering
Production-ready software delivery using agentic engineering tools (Claude Code, OpenCode, Codex) with structured workflows, reusable skills, and quality hooks.
- Tool-assisted implementation loops with explicit planning, execution, and review gates
- Reusable skills and command hooks to keep outputs consistent and maintainable
- Verification-first delivery with tests, build checks, and safe iteration patterns
Platform & Delivery
Cloud-native delivery practices that keep teams shipping faster without sacrificing observability.
- Monitoring and operational guardrails
- CI/CD discipline and release confidence
- Documentation and maintainable standards
Recent Development
Featured Agentic Project
This is the latest product I launched, focused on clarity, trust, and practical user value.
Featured Case Study
Mi Calculadora Financiera
Production financial assistant experience built with agentic engineering workflows
A live financial calculator platform delivered in one month using an agentic engineering workflow. Development combined human direction with Claude Code, OpenCode, and Codex to accelerate delivery while keeping production standards.
Challenge
Build a trustworthy financial UX that explains calculations clearly, supports fast iteration, and remains maintainable as new calculators and assistant flows are added.
Solution
Defined scoped implementation loops, used tool-assisted coding sessions for feature delivery, and enforced quality hooks for validation before release. The workflow prioritized explicit tasks, review checkpoints, and reproducible changes.
- Shipped a public, production-ready product from concept to launch in one month.
- Improved delivery speed through agentic coding loops without sacrificing quality control.
- Established a reusable workflow pattern (skills, hooks, and validation steps) for future products.
JavaScript HTML/CSS Claude Code OpenCode Codex Agentic workflow skills and hooks SEO and content strategy
Experience
Roles where I improved data reliability, orchestration quality, and delivery speed.
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Data Engineer
NTT DATA Europe & LATAM
Designing and maintaining data pipelines across public-sector projects with strong reliability and delivery expectations.
- Developed ETL pipelines using PySpark and HBase for environmental programs in Andalusia.
- Migrated legacy Pentaho Data Integration pipelines to Apache Airflow for Tenerife initiatives.
- Contributed to maintainability and operational quality across multi-project data workflows.
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Business Intelligence Developer
cdmon
Delivered internal analytics and automation capabilities for business and engineering teams.
- Built and maintained ETL pipelines with Apache Airflow.
- Created insight dashboards and reporting flows using Apache Superset.
- Developed internal APIs and improved legacy code reliability.
Selected Projects
Additional technical work across web engineering and applied optimization.
Personal Web Portfolio
Portfolio website built with Astro and Tailwind CSS as a lightweight, performant front-end foundation.
Astro Tailwind CSS
PC Component Optimization Under Budget Constraints
Data science project that combines scraped pricing data, preprocessing, and a genetic algorithm to optimize computer component selection with constraints.
Python Web Scraping Genetic Algorithms Streamlit
About
I am an adaptable and pragmatic engineer who enjoys combining analytical rigor with creative problem-solving.
My current focus is building robust data systems and extending that mindset into agentic engineering patterns that are production-ready.
Outside work, I keep learning through programming projects, chess, and challenges that push me beyond my comfort zone.
Let's collaborate
Building reliable data and AI workflows with measurable impact.
If you are hiring for Data Engineering or Agentic Engineering roles, I can help accelerate delivery while keeping architecture and operations robust.