Summary
Ricardo Lohmann is a Lead Data Engineer with over a decade of hands-on experience designing and operating modern data platforms that prioritize scalability, reliability, and performance. He combines deep expertise in streaming and big data technologies—Kafka, Flink, Airflow, Airbyte, dbt—and infrastructure tooling like Kubernetes and Terraform to deliver robust ETL/ELT pipelines across cloud and on-premise environments. Having led data initiatives at Azion and now ADP while co-founding a customer-sentiment startup, he brings both product-minded entrepreneurship and enterprise-grade engineering discipline. Ricardo emphasizes automation, CI/CD, observability (Prometheus/Grafana) and data quality (Great Expectations) to turn complex data flows into trusted assets for decision-making. A lifelong learner with postgraduate training in data science and practical ML foundations, he often bridges analytics and engineering to accelerate data-driven outcomes.
10 years of coding experience
4 years of employment as a software developer
Matemática e Ciência da Computação, Matemática e Ciência da Computação at edX
Análise e Desenvolvimento de Sistemas Tecnologia da Informação, Análise e Desenvolvimento de Sistemas Tecnologia da Informação at Centro Universitário Senac
Técnico em Informática Tecnologia da Informação, Técnico em Informática Tecnologia da Informação at Escola Técnica José Cesar de Mesquita
Nanodegree em Machine Learning & AI Foundations Processamento de Dados e Tecnologia de Processamento de Dados, Nanodegree em Machine Learning & AI Foundations Processamento de Dados e Tecnologia de Processamento de Dados at Udacity Brasil
Estácio de Sá University