Data Engineering
Designing dependable pipelines, integrations, and data products that are observable, testable, and built for real teams.
Data & AI Engineer based in Saltillo, Mexico
I build production data platforms and AI systems with the engineering depth, product judgment, and client-facing clarity needed to turn complex ideas into useful outcomes.

About
I am a Data and AI Engineer with more than ten years of experience solving data platform problems, shaping technical direction, and connecting engineering work to product and business outcomes.
I care about the small things in big data and AI: observability, evaluation, testing, naming, ownership, and handoff quality.
I enjoy client-facing work where engineering judgment, product context, and clear communication all matter.
I lead by making technical tradeoffs visible, helping teams align, and mentoring people as they grow into stronger data roles.
Designing dependable pipelines, integrations, and data products that are observable, testable, and built for real teams.
Building beyond foundations: retrieval workflows, agent reliability, GenAI platform patterns, and practical AI integrations.
Translating ambiguous goals into technical direction, client conversations, delivery plans, and systems people can actually use.
Stack
Credentials
Databricks Academy - Issued May 2026 - Expires May 2028
Databricks Academy - Issued Apr 2026
Databricks Academy - Issued Apr 2026
Databricks Academy - Issued Apr 2026
Databricks Academy - Issued Apr 2026
Databricks Academy - Issued Apr 2026
LangChain - Issued Mar 2026
Amazon Web Services - Issued Sep 2024
Amazon Web Services - Issued Sep 2024
Google Cloud - Issued Jun 2022
Databricks - Issued Sep 2022
Databricks Academy - Issued Jul 2023
Microsoft - Issued May 2023
Astronomer - Issued Oct 2022
dbt Labs - Issued Mar 2023
Career
Data and AI engineering work focused on reliable systems, product-minded delivery, and modern AI/data platform capabilities.
Consulting, delivery, and data engineering across cloud, Spark, Airflow, client-facing initiatives, and technical enablement.
Software and data engineering experience in enterprise delivery environments.
Early professional engineering work across software delivery and client needs.
First production software role while building the foundation for a data engineering career.