Cloud Data Architecture
Designing secure, scalable data platforms across AWS, GCP, Databricks, and Snowflake


From landing zones and Lakehouse migrations to production-grade AI/ML agents, I help teams turn complex data challenges into secure, scalable platforms.
Designing secure, scalable data platforms across AWS, GCP, Databricks, and Snowflake
Building resilient ingestion and transformation pipelines with Airflow, Spark, and Glue
Driving trusted data through DAMA-aligned lineage, cataloging, and quality controls
Modernizing legacy infrastructure into high-performance, cloud-native Lakehouses
Turning raw data into AI-powered analytics that drive real business decisions
Upskilling engineering teams through hands-on cloud and data workshops


Cloud architecture, data engineering, and AI/ML — designing landing zones, Lakehouses, and production-grade data platforms on AWS, GCP, Databricks, and Snowflake, plus agentic AI systems built on modern LLM stacks.
11+ years in data, growing from Data Analyst at Banco de Crédito (BCP) into a multi-cloud Solutions Architect role, delivering projects across fintech, retail, travel, and media clients.
15 professional certifications across AWS, Google Cloud, Databricks, and Snowflake — see the full list in the Certifications section above.
Yes. I'm based in Lima, Perú, and have delivered projects remotely for clients across LATAM, Colombia, and the United States.
Always open to full-time roles and consulting engagements in cloud data architecture and AI/ML — feel free to reach out through the contact form below.