
Data Engineer
His core expertise includes Databricks, Apache Spark, Python, and SQL, with experience building and supporting large-scale data platforms for marketing, e-commerce, and analytics use cases, including projects for Adidas US.
He has built and maintained production data pipelines, integrated data from multiple external sources, and led data platform migrations to Databricks. His work includes implementing monitoring, error handling, and operational improvements that increased platform reliability and reduced issue resolution times.
Rodrigo also has experience leading data teams and delivering scalable, production-ready solutions across AWS and GCP environments. He combines hands-on data engineering expertise with a strong focus on platform reliability, scalability, and maintainability.





Developed mobile apps for Android.
Developed applications for NFC devices and banking cards.
Developed testing campaigns for banking cards and telco cards.
All Data Engineers who have applied to Proxify are scored from 0 to 300 on engineering excellence, one of the five parameters we evaluate. This score reflects engineering excellence only, based on interviews, take-home assignments, live coding sessions, and/or on-the-job performance reviews. The curve shows how all evaluated Data Engineers are distributed across that range, where our acceptance threshold for this parameter sits, and where Rodrigo stands.

Issued Mar 2026
Credential ID 177584813

Issued Mar 2026
Credential ID 177584813
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