Arturo Del Rey

Data Architect with over 8 years of experience designing enterprise data platforms in Python, Databricks, and Snowflake.

What I do:

→ Advanced AI integration into workflows: LLM-assisted development with MCP (Model Context Protocol) architecture to connect language models directly with Databricks, file systems, and real-time APIs. Use of code agents (Claude Code), custom MCP servers for operations on clusters, notebooks, jobs, and SQL warehouses, and automated generation of bundles and technical documentation. This is not basic prompt engineering: it's AI infrastructure integrated into the real development cycle.

→ Design and implementation of production ETL/ELT pipelines: ingestion, transformation, validation, and delivery. I have built medallion architectures (bronze/silver/gold) in Databricks with Unity Catalog, Delta Lake, and automated deployment via GitHub Actions.

→ Enterprise-scale Snowflake Architecture: 4 years building the data infrastructure for Inditex, one of Europe's largest retail groups. Schema modeling, performance optimization, and transformation with DBT.

→ Complete data platforms: currently responsible for a platform with 20+ data projects in production, 75+ automated jobs, and 10 business areas covered, coordinating multiple technology providers. Own frameworks for data governance, quality, and observability.

→ Quantitative analysis: backtesting engines, financial data processing, walk-forward optimization with Optuna, time series over 10+ European markets.

I deliver software that works in production, not presentations. Direct communication, realistic deadlines, maintainable code.

Stack: Python, PySpark, SQL, Databricks (Unity Catalog, Delta Lake, Asset Bundles), Snowflake, DBT, Azure (Data Factory, Data Lake, Functions), Streamlit, Optuna, Git/GitHub Actions, MCP, Claude Code.