Adelaine Gelain is an Analytics Engineer with nine years of experience merging data analysis and software engineering to build high-performance, cost-efficient data warehouses. She specializes in dbt-driven, analytics-ready modeling on Amazon Redshift, having delivered 80+ production models and improved query performance by up to 95% without scaling the warehouse. Her work emphasizes engineering best practices—high test coverage, clear naming conventions, governance, and documentation—which eliminated daily metric inconsistencies and enabled faster, more independent analyst workflows. Previously she drove BI adoption and governance with Tableau, introduced ETL and version-control practices, and led analytics teams and curricula as a lecturer. Based in Austria, she pairs academic depth (Master’s in Applied Computing, postgraduate Data Science) with hands-on operational wins across marketing, CRM, and subscription analytics. A detail-oriented optimizer, she has cut storage for single snapshots by ~80% while simultaneously improving performance—demonstrating that smarter architecture, not just bigger warehouses, delivers value.
9 years of coding experience
10 years of employment as a software developer
Master's degree Applied Computing, Master's degree Applied Computing at Universidade do Estado de Santa Catarina
Postgraduate Data Science, Postgraduate Data Science at SENAI/SC - Serviço Nacional de Aprendizagem Industrial
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