Summary
Nilson Cunha is a data engineer with nine years of experience building and operating large-scale analytics platforms, currently serving as the technical lead for critical credit analytics pipelines. He specializes in Lakehouse architectures, Apache Iceberg, PySpark, Airflow and AWS, and has a track record of cutting pipeline runtimes and query latencies by up to 65% through performance tuning and modernization. Nilson has led migrations from traditional data lakes to Iceberg-based architectures and defined engineering standards that improved reliability and observability for ML and analytics teams. He mentors junior engineers, performs technical reviews for production deploys, and routinely troubleshoots high-severity incidents under strict SLAs. Notably, his work has directly supported revenue-driving analytics and scaled daily processing of millions to billions of records across financial and tech sectors. Based in Minas Gerais, Brazil, he combines hands-on pipeline development with architectural decision-making and infrastructure-as-code practices.
9 years of coding experience
4 years of employment as a software developer
Pós-Graduação em Ciência de Dados e Big Data T.I, Pós-Graduação em Ciência de Dados e Big Data T.I at PUC Minas
Bacharelado em Sistema de Informação, Bacharelado em Sistema de Informação at Faculdades Promove
English, Portuguese