Summary
Lucas Müller is a Senior Data Engineer with over 8 years in tech and 4.5+ years focused on data architecture, currently shaping data platforms at Datarisk. He has hands-on experience across cloud and container ecosystems—GCP, AWS, Azure, Kubernetes and Databricks—plus data-quality tooling like Great Expectations and Pandera, and query engines such as DuckDB and Delta. Comfortable moving projects from research to production, he blends ETL orchestration (Airflow), Spark processing, and CI/CD practices to deliver reliable pipelines. Based in Minas Gerais, Brazil, Lucas combines academic research roots with practical industry delivery, and often bridges observability and governance into engineering workflows. The breadth of his tooling choices suggests a pragmatic, performance-minded approach to solving complex data problems.
8 years of coding experience
Colégio de Aplicação João XXIII
Bacharelado, Engenharia Computacional, Bacharelado, Engenharia Computacional at Universidade Federal de Juiz de Fora