Nikolai Kobyzev
Data Engineer @DailyPay
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WORK HISTORY
Data Engineer @DailyPay
London, GB
Designing and evolving of a Lakehouse data platform supporting financial reporting and operational analytics in an on-demand pay fintech environment.• Architect and maintain dimensional financial data models in Snowflake using dbt, ensuring accuracy, auditability and consistency across reporting layers.• Re-designed a rewards settlement pipeline from batch processing to event-driven architecture (Kafka), reducing latency and eliminating reconciliation inconsistencies.• Developed resilient ingestion patterns integrating Fivetran and streaming sources into the core modelling layer.• Consolidated legacy transformations into a unified dbt framework, improving maintainability and dataset clarity.• Implemented role-based access controls in the data warehouse, strengthening governance and data security.• Contributed to platform reliability through architectural reviews and peer code evaluations.
EDUCATION
Saint Petersburg State Electrotechnical University "LETI"
Master of Science - MS, Computer Science
Saint Petersburg State Electrotechnical University "LETI"
Bachelor of Science - BS, Computer Science
SKILLS
ABOUT NIKOLAI KOBYZEV
I design and evolve financial data platforms within fintech and regulated environments. My work centres on building reliable, auditable and maintainable data systems that support financial reporting and operational decision-making. I specialise in dimensional modelling, modular dbt-based transformation frameworks, and ingestion pipelines spanning batch and event-driven architectures.Across fintech and banking roles, I have worked extensively with Snowflake and cloud-native infrastructure, with a strong focus on governance, data consistency and system reliability in high-visibility reporting contexts.I am particularly interested in advancing lakehouse architectures and strengthening engineering standards behind financial data systems.Endorsed under the UK Global Talent visa (Exceptional Promise).
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