About Zoltán
Hungarian
Native or bilingual
English
Fluent
German
Basic
Experience
- ERGOData ArchitectBANKING AND INSURANCEJune 2025 - Today (1 year and 2 months)Budapest, Hungary• Provide technical leadership within a 5-person DWH team maintaining an insurance Data Warehouse for claims, policy, finance and management reporting.• Maintain and extend dimensional models and reporting structures supporting downstream Power BI, SSRS and SSAS consumption.• Stabilise business-critical finance and IFRS reporting by resolving recurring data quality, transformation logic and SQL/SSIS processing issues.• Helped improve quarterly IFRS report quality from approximately 60% to around 98% across PRE and ACT reporting cycles.• Troubleshoot and optimise complex T-SQL stored procedures, SSIS packages and SQL Server data flows.Technologies: SQL Server, T-SQL, SSIS, SSRS, SSAS, SSMS, Power BI
- BluebirdSQL Domain Expert / AI Model TrainerDecember 2023 - June 2025 (1 year and 6 months)Budapest, Hungary• Applied deep SQL and database expertise to train and evaluate large language models on complex database reasoning tasks.• Designed advanced SQL training and evaluation scenarios covering correctness, optimisation, execution plans, indexing, data modelling and cross-database behaviour.• Evaluated and corrected AI-generated SQL across Oracle, PostgreSQL, SQL Server, MySQL, BigQuery, Hive and SQLite using synthetic enterprise-style datasets.• Served as reviewer and senior reviewer, ensuring task quality, evaluation consistency and high standards across SQL-focused model training workflows. Technologies: Oracle, PostgreSQL, SQL Server, MySQL, BigQuery, Hive, SQLite
- K&H BankBig Data Architect / Team LeadJanuary 2022 - March 2023 (1 year and 2 months)Budapest, Hungary• Technically led a 3-person team developing a near-real-time banking messaging platform for push, SMS, email, system and campaign communications.• Established code review, logging, clean code and maintainability standards across Oracle, Python and Airflow components.• Reused legacy Oracle stored procedures and Python logic while introducing Airflow-based orchestration for future cloud alignment.• Supported hybrid architecture planning, connecting on-premise Oracle/DWH capabilities with longer-term cloud platform direction.Technologies: Oracle, PL/SQL, Python, Apache Airflow, Hadoop
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Education
- Economic degree, specializationInternational Business School (IBS)2003Economic degree, specialization