Summary
Bella Zeng is a Data Modeller Analyst with 7 years’ experience turning complex business requirements into robust data models and actionable analytics across retail, banking, aviation and consumer goods. She has built 3NF conceptual, logical and physical models for regulatory reporting and marketing use cases, and routinely extracts and enriches sample data from Redshift and AWS Athena to populate data dictionaries and catalogs. Skilled in stakeholder workshops, user story creation and access-control use cases, she bridges business clarity and technical implementation—consolidating thousands of glossary entries and column definitions to improve governance. Bella combines hands-on ETL and visualization experience (Tableau, Power BI, Azure Databricks) with practical data engineering skills to streamline pipelines and parallelize workloads. Based in Kowloon, she pairs a BBA in Economics & Information Systems with cross-border experience across Asia Pacific, and has a knack for turning messy PII and regulatory requirements into well-documented, testable datasets. Her GitHub bio—“Run!!!”—hints at a playful, fast-paced approach to problem solving behind a disciplined data practice.
7 years of coding experience
Spring Semester Exchange Business, Spring Semester Exchange Business at University of Leeds
Hong Kong University of Science and Technology (HKUST)
English, Chinese