Kate Loguteva is a pragmatic data engineer with 10 years’ experience shaping robust, production-ready data warehouses and migration pipelines across New Zealand’s public and private sectors. As the founder of Optimalbi and its self-styled "Data Masseuse," she specializes in Data Vault implementations, ETL orchestration (Airflow, SSIS), and pragmatic data quality "detox" techniques that make messy sources reliably reportable. Her portfolio includes end-to-end DW builds and migrations for agencies like Transpower, NZTA, EQC and the Ministry of Business, where she combined analysis, T-SQL transformation, and cloud migrations to drive repeatable reporting. Comfortable in both hands-on development and architecture roles, she has a knack for turning legacy CRM exports into clean, governed datasets and for delivering cost-effective, config-driven solutions on PostgreSQL and Azure. Colleagues describe her work as detail-oriented yet creative—she treats data with the same care a masseuse gives muscles, easing tension and revealing healthier structure beneath.
9 years of coding experience
8 years of employment as a software developer
Computer Scientist, Applied Informatics, Computer Scientist, Applied Informatics at Saratov State Technical University
Contributions:2 releases, 41 commits, 17 pushes in 1 year 7 months
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