
Arthur Lopes
@arthurlopes
Senior Data Engineer at Diconium, migrating CRM data across 5+ countries into AWS and enabling a global dashboard ecosystem.
What I'm looking for
At Diconium, I develop automated data pipelines for Volkswagen Group business units, replacing error-prone Excel workflows with a Single Source of Truth. This accelerated strategy discussion lead times by 50%.
I also onboarded CRM data from 5+ countries into a unified AWS solution, reducing data preparation work by 60% and enabling a global dashboard ecosystem. I refined the Redshift SQL data model to handle conflicting business rules and standardize processing across teams.
Previously, I migrated Natura’s CRM data mart from Oracle PL/SQL to BigQuery, rewriting transformation pipelines in Python and Apache Airflow and reducing runtime by 65%. I’m looking to drive international data transformation projects using my cloud and data engineering experience.
Experience
Work history, roles, and key accomplishments
Developed automated data pipelines to replace Excel-based workflows, establishing a Single Source of Truth and accelerating strategy discussion lead times by 50%. Onboarded CRM data from 5+ countries into a unified AWS solution, reducing data preparation work by 60%.
Acted as Technical Product Owner for Brazil's commercial data initiatives, bridging local business stakeholders and global engineering teams. Led technical discovery and blueprint design for Brazil's Sales Performance Platform, defining source-to-target mappings for SAP ERP, CRM, and POS data.
Data Engineer
Natura
Mar 2019 - Jul 2021 (2 years 4 months)
Sole Data Engineer responsible for migrating on-premise Oracle CRM data mart to Google Cloud Platform. Migrated CRM data mart from Oracle PL/SQL to BigQuery, rewriting transformation pipelines in Python and Apache Airflow, reducing runtime by 65%.
Education
Degrees, certifications, and relevant coursework
FIAP
Technologist, Digital Marketing & Data Science
2019 - 2020
Completed a Technologist degree in Digital Marketing & Data Science from FIAP, Brazil, from 2019 to 2020.
Tech stack
Software and tools used professionally
Availability
Location
Salary expectations
Social media
Job categories
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