Summary
Marcos Camargo is a Senior Data Engineer with a decade of experience building scalable data platforms and high-reliability pipelines, currently shaping analytics infrastructure at Wildlife Studios. He has deep hands-on expertise with Airflow, Databricks, PySpark and a proven track record delivering near real-time data lakes using Kafka, Spark, Delta Lake and Trino across AWS and GCP. Marcos has led teams and projects that integrate diverse relational and NoSQL sources, processing billions of events monthly while applying strong data governance and privacy practices (GDPR/LGPD). His background includes scientific research in computer vision and ensemble learning, reflecting a rigorously analytical approach rooted in a Computer Science degree from Universidade de São Paulo. Pragmatic and operations-minded, he focuses on observability and reliability to keep production pipelines healthy at scale. Colleagues rely on him to bridge data engineering, platform reliability, and compliance in fast-moving product environments.
10 years of coding experience
4 years of employment as a software developer
University of São Paulo