Summary
Fred Waldow is a Data Engineer with nine years of experience building maintainable data pipelines and models using dbt, SQL, Python, Databricks and Spark across fast-growing product teams. He has driven analytics engineering at fintech and proptech companies—translating business questions into documented, production-ready datasets and improving the Modern Data Stack for analytics stakeholders. Comfortable both in hands-on ingestion and modeling work, he has a record of implementing dbt core, automations and platform documentation to raise data reliability and discoverability. His background in mechanical engineering and leadership roles in cross-functional programs gives him a systems-oriented mindset and a knack for structuring complex data problems. Based in Santa Catarina, Brazil, he blends continuous learning (Udacity Data Engineering nanodegree) with practical delivery at companies like Loft, Trustly and Branching Minds.
9 years of coding experience
2 years of employment as a software developer
Pós Graduação, Novas Tecnologias, Transformação Digital e Agilidade Field Of Study Administração e Negócios, Pós Graduação, Novas Tecnologias, Transformação Digital e Agilidade Field Of Study Administração e Negócios at FIA Business School
Nanodegree, Data Engineering, Nanodegree, Data Engineering at Udacity
Organizational Leadership, Organizational Leadership at Fundação Dom Cabral
Bacharelado em Engenharia, Mechanical Engineering, Bacharelado em Engenharia, Mechanical Engineering at Universidade Federal do Paraná
Bachelor, Mechanical Engineering, Bachelor, Mechanical Engineering at Technische Universität Berlin
Colégio Erasto Gaertner
German, Portuguese, English, Spanish