Open to opportunities

Georgina Botello Ortega

@georginabotelloorteg

Data Engineer focused on transforming Oracle/MySQL data into BigQuery on GCP through reliable ETL and migration projects.

Zimbabwe

Message

What I'm looking for

I want to work on collaborative, real-world projects where I can turn data into business value—especially Data Migration/Replatforming work—using GCP, ETL tooling, and strong SQL to deliver reliable pipelines and measurable impact.

I’m a curious and analytical Data Engineer with a genuine passion for Computer Engineering, focused on how data creates value for the business. I enjoy learning new technologies and collaborating in the University of Bergamo environment, where ideas and solutions grow through dialogue. I’m especially motivated by projects that combine technical challenges with real-world impact.

At Lutech S.p.A. (2022 - 2026), I participated in two pivotal Data Migration and Replatforming projects, developing expertise in data analysis, manipulation, and ETL delivery in GCP environments. I extracted data from Oracle and MySQL to BigQuery using ETL tools like Dataform and DBT, orchestrating pipelines with Airflow and operating with Dataflow. I write complex SQL queries, translate SQL from Oracle to BigQuery, debug effectively, and support data consistency through DML and DDL while managing metadata and project files.

Experience

Work history, roles, and key accomplishments

Data Engineer

Lutech S.p.A.

Jan 2022 - Jan 2026 (4 years)

Contributed to data migration and replatforming projects by building ETL pipelines in GCP to move and transform data from Oracle and MySQL into BigQuery. Wrote and debugged complex SQL, managed MySQL metadata for table landing, and translated Oracle SQL to BigQuery using Dataform/dbt with orchestration via Airflow and Dataflow.

SQL dataform DBT BigQuery Airflow Google Cloud Dataflow ETL Oracle MySQL

Education

Degrees, certifications, and relevant coursework

University of Bergamo

Bachelor’s Degree

Earned a Bachelor’s Degree in a curious and analytical Data Engineering path, with a strong focus on how data creates business value. Worked in a collaborative university environment and was motivated by projects combining technical challenges with real-world impact.