Rodrigo Makoto is a Staff Data Engineer with nearly a decade of experience building scalable, cloud-native data platforms across industries from e‑commerce to global beverage operations. He designs and operates end-to-end pipelines using open-source tooling and AWS/Azure managed services—Airflow, Kafka, Trino/Presto, PySpark, Databricks, Kubernetes and Terraform—optimizing for cost, reliability and near-real-time delivery. Rodrigo has led cross-functional teams to replace legacy components, introduce data discovery and observability, and provide clean inputs for ML and analytics at scale. He’s comfortable migrating monoliths to microservices and rebuilding in-house tracking systems when off-the-shelf solutions don’t meet schema or scalability needs. Known for pragmatic architecture choices, he pairs hands-on implementation with governance, compliance, and monitoring to keep large multi-country data flows trustworthy. Based in “No man's land,” he brings a mix of startup agility and enterprise discipline that consistently turns messy source data into actionable products.
9 years of coding experience
10 years of employment as a software developer
Engineer’s Degree Computer Engineering, Engineer’s Degree Computer Engineering at Universidade Estadual de Campinas
:zzz: A utility tool powered by fzf for using git interactively.
Contributions:10 pushes in 3 years 2 months
clizsh-pluginzzzbashutility-tool
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