Christian Nogueira is a results-driven Data Engineer with 10 years of experience building ETL pipelines, automations and reporting solutions across energy and agribusiness firms. Based in Santa Catarina, Brazil, he has led data harmonization projects for major acquisitions and migrated on-premises data to cloud storage (S3) while delivering analytics in QlikSense and Power BI. He combines practical Python engineering—authoring services to automate data validation and management—with a background in industrial engineering and VBA-based KPI development. As a consultant and hands-on practitioner at Lebrandt and Yara, he bridges domain operations and analytics to turn messy operational data into reliable reports. He also holds nanodegrees in Data Science and Deep Learning, reflecting an ongoing commitment to modern ML and data practices. A quirky touch of personality shows in his GitHub bio (ʕ•ᴥ•ʔ), suggesting an approachable, curious engineer behind the dashboards.
9 years of coding experience
1 year of employment as a software developer
Inglês Avançado, English Premier Intensive Course, Inglês Avançado, English Premier Intensive Course at Aspect International Language Academies
Data Science for Business Nanodegree, Data Science for Business Nanodegree at Udacity
Cronoanalista, Curso de Cronoanálise - Racionalização Industrial, Cronoanalista, Curso de Cronoanálise - Racionalização Industrial at SENAI - Serviço Nacional de Aprendizagem Industrial
Engineer (Engenheiro), Industrial Engineer (Engenharia de Produção Mecânica), Engineer (Engenheiro), Industrial Engineer (Engenharia de Produção Mecânica) at Centro Universitário do Instituto Mauá de Tecnologia
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