Summary
Daniel Júnior is a results-driven data engineer with 12 years of software engineering experience, currently building large-scale ingestion and transformation pipelines for Samsung services using Airflow and AWS analytics stack. Based in São Paulo, he blends strong backend and ETL expertise with a history of mobile and web development, having shipped Android apps, high-availability web apps and automated test frameworks earlier in his career. Comfortable across the full data lifecycle—from cleaning and provisioning APIs to Spark Glue jobs and Redshift analytics—he focuses on clean code and pragmatic solutions for complex data problems. His background in Computer Engineering and a specialization in mining complex data give him a knack for turning messy, high-volume sources into actionable datasets. Notably, he pairs production-grade data engineering with hands-on experience in test automation and frontend systems, enabling cross-functional collaboration and robust delivery.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Centro Universitário Salesiano de São Paulo
Extension course, Mining Complex Data, Extension course, Mining Complex Data at Universidade Estadual de Campinas