Victoria Mola is an analytics-focused IT professional with seven years of experience specializing in ERP systems and Microsoft SQL Server, now based in Berlin. She couples strong technical skills in data modeling and dbt-based transformation with a business-oriented mindset from industrial and systems engineering studies. Victoria has contributed to the popular Data Engineering Zoomcamp project, building portable dbt models for NYC taxi data and adapting SQL across PostgreSQL and BigQuery. Highly practical and problem-driven, she enjoys turning messy databases into reliable analytics assets and teaching others through her Organidata pages. Her work is motivated by using technology to simplify daily tasks and deliver measurable business value.
6 years of coding experience
Ingeniería Industrial, Ingeniería Industrial at Universidad Nacional de Mar del Plata
Systems Engineer, Information Technology, Systems Engineer, Information Technology at CAECE University
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
Role in this project:
Data Engineer
Contributions:15 reviews, 90 commits, 45 PRs in 1 year 2 months
Contributions summary:Victoria primarily focused on building data models within a dbt project, demonstrating expertise in data transformation and analytics engineering. Their contributions included creating staging, core, and data mart models, along with defining data types and implementing macros for data cleaning and consistency. They adapted SQL code to be compatible with both PostgreSQL and BigQuery, showcasing an understanding of different data warehousing environments. The user's work is focused on creating a data model for NYC taxi trip data.
Contributions:15 commits, 12 pushes, 1 branch in 5 months
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