Oscar Arvizu is a Data Engineer with 8 years of experience specializing in database design, ETL, and big data processing across cloud environments. He has built production workflows and automated data pipelines using Python, PySpark, SQL, Airflow and Databricks to consolidate business information and deliver actionable dashboards. His background combines formal computer engineering training from UNAM with hands-on roles at L'Oréal, RADIUS, Neoris and Walmart, giving him experience across enterprise and consultancy settings. He focuses on optimizing extractions and transformations—leveraging PL/SQL, traditional ETL tools and cloud-native services—to reduce processing time and improve data quality. Notably, he pairs deep database modeling skills with a continual learning mindset toward emerging big data and cloud technologies.
8 years of coding experience
1 year of employment as a software developer
Grado en Ingeniería, Grado en Ingeniería at Facultad de Ingeniería de la UNAM
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