Joaquín Casanova
Machine Learning Ops Engineer at Conekta
Zapopan, Jalisco, Mexico
Summary
👤
Senior🎓
Top SchoolJoaquín Casanova is a Lead Data Engineer with a decade of experience building data platforms and decision systems that power ML-driven products across startups and enterprises. With a physics background from UNAM, he combines rigorous quantitative thinking with hands-on MLOps—designing real-time and batch ML services, ELT pipelines, and robust data quality monitoring using tools like dbt, Fivetran, Snowflake/Redshift, Airflow and FastAPI. He has led data infrastructure initiatives at Atrato and Rappi that process millions of events, emphasizing reliability, CI/CD, and scalable orchestration. Comfortable across backend development, IoT projects, and multithreaded scraping, Joaquín is as likely to optimize a model deployment as he is to architect the ingestion layer that feeds it. Based in Zapopan, Mexico, he brings an experimental scientist’s curiosity to production-grade systems, enabling faster product iteration and measurable business impact.
10 years of coding experience
8 years of employment as a software developer
Universidad Nacional Autónoma de México (UNAM)
English
Github Skills (25)
git10
github10
python10
data-science10
machine-learning10
scheduler10
automation10
orchestration10
apache9
data-engineering9
data-pipelines9
workflow-engine9
elt9
airflow9
dag9
Programming languages (5)
Github contributions (5)
joaquin-casanova/joaquin-casanova
Apr 2021 - Apr 2026
Contributions:19 pushes, 1 branch in 5 years
joaquin-casanova/joaquin-casanova.github.io
Mar 2022 - Jan 2023
This repository hosts my personal website using Hugo and PaperMod Theme
Contributions:1 review, 78 commits, 32 PRs in 10 months
hugo
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