
Data Engineer
He has spent seven years specializing as a Data Engineer/BI Developer, constructing and managing data pipelines for diverse businesses using various technologies, including Oracle, Microsoft, IBM, and AWS.
In addition, he is natural at migrating on-premises environments to the cloud and implementing best practices for DevOps and Security.
Throughout his career, Felipe worked on projects for the banking, energy, retail, and automotive industries, allowing him to acquire various knowledge and skills in different areas.

In my current position, I spearhead the development of the company's cloud data platform utilizing a Data Mesh approach. My objective is to streamline cloud adoption across various business sectors by offering comprehensive support and simplifying data management, all while ensuring adherence to best practices for data handling in the Cloud.


I served as the Data Engineer, overseeing the maintenance and optimization of the cloud environment for a business intelligence project within an investment firm.



During my tenure as a BI consultant, I had the privilege of managing data warehousing and implementing data visualization solutions for prominent Brazilian enterprises across diverse sectors including energy, banking, retail, and more.
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 Felipe stands.

Talk to an expert and get tailored matches from our network in just 2 days.
A network of over 6,000+ tech experts
Get matched with perfect-fit talent in 2 days on average
Hire quickly and easily with 94% match success