Thomas Quang Long Duong

Thomas’s interest in data began during his undergraduate studies, where he focused on quantitative research methods using R. He explored the impact of government policies on political behaviour in the UK and Europe, and during his postgraduate studies in International Political Economy, he examined environmental governance and the green transition, with a focus on post-Soviet economies.

Now a Data School Consultant at TIL, Thomas continues to deepen his data expertise while developing key consulting skills. Currently in his P4, Thomas has completed data engineering training to fortify his understanding of backend processes, including data pipelines, ETL/ELT, and integration. This complements his frontend BI experience, providing him with a comprehensive view of the full data lifecycle. Through practical applications, such as a web analytics project, he has gained hands-on experience with Python, Git, Airbyte, AWS, Kestra, Snowflake, and dbt.

Thomas brings a year and a half of specialised experience at Europe’s largest defence contractor, where he rapidly mastered large-scale organisational processes. During his P1 and P2, he developed advanced skills in Tableau and Alteryx to drive data insights. Transitioning to a Data Engineering role for P3, Thomas now works within the finance team to design robust data pipelines, build ingestion mechanisms, and develop data models to streamline financial data transformations.

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