Vinicius Dittgen is a Senior Data Engineer with over a decade of hands-on experience designing high-scale products, microservices, data warehouses and resilient infrastructure. He blends deep technical craft—ranging from ETL architecture and schema evolution to distributed ML pipelines—with a human-centric, UX-aware approach to building and leading high-performing teams. As a co-founder he grew an ERP business to 20,000 clients and later delivered rapid, regulation-compliant integrations for insurance platforms in Brazil, demonstrating both product sensibility and regulatory savvy. Active in open source, he contributed to the Brazilian localization of Odoo, improving fiscal and tax handling for real-world deployments. Based in Santa Catarina, Brazil, he couples entrepreneurial pragmatism with a track record of shipping reliable systems under tight timelines.
14 years of coding experience
12 years of employment as a software developer
Data scientist, Data science and AI, Data scientist, Data science and AI at Softbank Data Science program by Correlation One
Computer Engineering, Dropped out, Computer Engineering, Dropped out at Universidade Estadual do Rio Grande do Sul - UERGS
Contributions summary:Vinicius primarily contributed to the Brazilian localization of Odoo, focusing on features related to fiscal documents and tax calculations. They modified code related to exporting fiscal files, error handling in invoice validation, and defining fiscal operation categories. The user also made several PEP8 style improvements across multiple files.
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