Summary
André Augusto is a Data Engineer with a PhD in Mathematics from the University of São Paulo and 13 years of experience combining rigorous academic training with practical data engineering. He has built data platforms from the ground up—designing streaming pipelines with Kafka, Snowflake-based warehouses, dbt transformations and Dagster orchestration—while leading small teams and promoting engineering best practices. At DoorDash he works on Tax & Invoice within Ads & Promos, and previously as Trela’s first data engineer he implemented end-to-end solutions that powered analytics, product features and operational automations. Comfortable across Python, Spark, Airflow, GCP, Kubernetes and Kafka, he applies scientific method and strong data testing to catch production issues early. Known for bridging analytics and product needs, he has delivered features like abandoned-cart workflows, BI integrations and data-contract libraries that directly improved user and business outcomes. Based in São Paulo, he brings a pragmatic, research-driven approach to making data reliable and actionable.
13 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Mathematics, Doctor of Philosophy - PhD Mathematics at USP - Universidade de São Paulo
Portuguese, English