Viktor Todorovski

• Developing and consolidating cross-functional Single Source of Truth data products with and for AI • Tech lead of a 6 person Data Engineering team with 3month to 5 years roadmaps planning • Owner of foundational SSOT Data products for EU operational logistics - Sub-15min NRT layer - Hourly Batch consolidated layer 5 datasets - Redshift based SQL ETLs using AWS Step Functions, Lambda - Serving and supporting 800+ daily consumers, 11000+ queries ran a day, 6+ ML science solutions

• Agile data warehouse project planning, estimation and management • Tech Lead Data engineer • Software architect and lead senior developer of an Agile Dimensional Data Warehouse development framework (Python 3.7, SQL Server 2017, T-SQL, SSIS, C#)

• Database developer (T-SQL and PL/SQL - Oracle 9i) • Web and desktop application development with C# .NET 3.5 • Reports preparation (MC QMR, financial performances etc) • Maintenance of the Card Management System

• Structured programming (C) • Object-oriented programming (C++) • Programming Methodologies.

• IBM Lotus Notes Domino framework developer with Java and Lotus Script programming languages • Document management Software design, documentation and application maintenance • Interconnection and syncing of Lotus applications data with various DBMSs

• Master thesis defended in 2014: “Application of modified genetic algorithms for useful association rules discovery in bank data”. • Faculty of Computer Science and Engineering - Skopje • Machine Learning and Pattern Recognition, Medical Informatics, Software Design Patterns

• specialization in Software Engineering. • Including Data Warehouse Database Design, Artificial Intelligence, Expert Systems, Distributed Systems • Faculty of Electrical Engineering and Information Technologies - Skopje