Osmin Larreynaga
Data Engineer
Passionate Data Engineer building scalable data pipelines and turning raw data into actionable insights. I thrive on solving complex challenges with cutting-edge tech and collaborative teams.
“Bridging the gap between data and decision-making.”
My Skills
Here are some of the technologies I specialize in, showcased in a dynamic carousel.
Python
SQL
BigQuery
GCP
Terraform
Airflow
GitHub Actions
JavaScript
Docker
Python
SQL
BigQuery
GCP
Terraform
Airflow
GitHub Actions
JavaScript
Docker
Python
SQL
BigQuery
GCP
Terraform
Airflow
GitHub Actions
JavaScript
Docker
Featured Projects
Here are some of the projects I've worked on. You can filter them by technology.
Articles & Insights
A collection of my own articles and recommended readings that have influenced my work.
Patrones de diseño y herramientas probadas en producción para crear pipelines de datos que escalen sin romper el banco ni el equipo.
Lecciones aprendidas (y errores costosos) al mover una infraestructura de datos legada a GCP, sin interrumpir producción.
Técnicas prácticas de optimización en BigQuery y Snowflake que redujeron costos en un 70% y tiempos de query en un 80% en proyectos reales.
A deep dive into the power of RNNs, showcasing their ability to generate text, from Shakespeare to source code.
The seminal paper introducing the Transformer architecture, which has become the foundation for modern NLP models like BERT and GPT.
A visual and intuitive explanation of the Transformer model, making complex concepts accessible to a broader audience.
A foundational book covering the principles of data systems, from databases and stream processors to distributed systems.
Patrones de diseño y herramientas probadas en producción para crear pipelines de datos que escalen sin romper el banco ni el equipo.
Lecciones aprendidas (y errores costosos) al mover una infraestructura de datos legada a GCP, sin interrumpir producción.
Técnicas prácticas de optimización en BigQuery y Snowflake que redujeron costos en un 70% y tiempos de query en un 80% en proyectos reales.
A deep dive into the power of RNNs, showcasing their ability to generate text, from Shakespeare to source code.
The seminal paper introducing the Transformer architecture, which has become the foundation for modern NLP models like BERT and GPT.
A visual and intuitive explanation of the Transformer model, making complex concepts accessible to a broader audience.
A foundational book covering the principles of data systems, from databases and stream processors to distributed systems.