
Analytics Engineer
He specializes in SQL, Python, and dbt for data modeling and transformation, and leverages tools such as GitHub, Snowflake, SQL Server, AWS S3, and Power BI to deliver efficient, insight-driven solutions.
One of his most notable achievements was developing an end-to-end data pipeline that powers a dynamic segmentation system. This solution determines which debtors to contact, when, and through which channel—email, SMS, TTS, or phone—by integrating analytical intelligence with business logic to maximize debt recovery and minimize operational effort.
Carlos is recognized for his ability to translate complex data processes into practical business solutions, ensuring that every system he builds delivers clarity, efficiency, and measurable impact.



Engineering excellence
Carlos’s overall performance in a 90-minute live technical assessment ranks in the top 25% of vetted Analytics Engineers at Proxify.

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