I build privacy-first data systems for health and analytics.
Data Architect focused on data modeling, governance, secure data handling, and scalable ETL pipelines. I turn sensitive health signals into actionable insights — without compromising privacy or trust.
What I Do
What I Build
Secure data platforms — scalable schemas, multi-tenant architectures, ETL pipelines, and privacy-aware analytics foundations. I design data systems that handle sensitive information responsibly and deliver measurable insights.
How I Work
Governance first. I start with privacy requirements and data quality constraints, then design for auditability, access control, and observability. Every system I build has clear data lineage and a path to iterate safely.
What I Care About
Privacy and integrity over speed. I'd rather build a well-governed, auditable data foundation than rush a system that leaks trust. The goal is data you can act on — reliably and responsibly.
Featured Projects
Founding Data Architecture for a Preventive Health Ecosystem
Designed the core data model, privacy governance framework, and multi-tenant schema for SaliHub's HealthTech platform — handling sensitive health data (PII/PHI) under LOPD requirements.
Production RAG Pipeline for Support Automation
Built and deployed an end-to-end retrieval-augmented generation pipeline to automate support workflows with high reliability, including retrieval quality evaluation and monitoring.
End-to-End Sales Forecasting Pipeline
Designed and implemented a sales forecasting system from raw transactional data to automated daily predictions, using Snowflake, Mage AI, and Python.
Interested in working together?
Currently building data infrastructure for HealthTech — open to data architecture, governance, and engineering opportunities.
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