Víctor Cárdenas
I work at the intersection of data, systems, and performance.
Today, I focus on solving production-level problems, from optimizing database performance to designing data-driven systems that deliver measurable impact.
Started Bachelor's in Architecture at ITESO
International exchange in Canada
International exchange in Germany
UX | UI Google Professional Certificate
Started Master's in Computer Science (AI focus) at ITESO
Worked as Data Scientist at Fintech Startup
Joined Oracle NetSuite as Database Engineer
Query optimization, execution plans, concurrency analysis
SQL, pipelines, data processing, system design
Applied modeling, feature engineering, experimentation
Spanish, English, French (B2), German (B1)
Solving business-critical performance issues in production environments. Optimized complex SQL queries from timeouts (>360s) to sub-second execution, achieving up to 10x improvements. Analyzed execution plans, concurrency, and system behavior to diagnose and scale solutions across multiple environments.
Built a fraud detection system and automated approval workflows, reducing manual work by 79%. Focused on feature engineering, pipeline design, and measurable business impact.
Led BIM workflows and cross-functional teams, improving delivery efficiency and reducing project timelines by 30%. Developed a strong foundation in structured thinking, systems design, and problem decomposition.
I'm interested in solving meaningful problems where data and systems intersect.
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