Kim-Ming has experience in the technology world with a primary focus on large volumes of data, including Data Warehousing, Data Migrations and Data Visualisation. He also has experience in Data Warehouse Testing and continuously looks for improvements.

Having worked as a consultant for numerous years, Kim-Ming has worked on over twenty five projects across industries including investment banking, aviation, medical, energy, and various government departments.

He enjoys the experience of integrating himself into various different work environments and cultures, working with people from a variety of backgrounds and areas of expertise, and learning about different industries and the way they utilise their data.

Kim-Ming’s core philosophy centres on having new experiences, learning new things, and always experimenting for new and innovative solutions.

Unlock the Full Potential of Data

Data is at the core of every industry, but the way data is managed determines its impact on a business. Integrating data from multiple sources can present challenges. Questions such as, “Which customer data is most accurate?” or “How can report performance be improved?” often arise. Understanding the insights that drive decisions is critical for success.

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Data Warehousing

A Data Warehouse serves as a centralized repository for (historical) data, enabling streamlined access and analysis. Operational data is uploaded, processed, and distributed across multiple layers, each designed to perform specific functions. A Data Warehouse can be implemented on-premises or in the cloud, depending on business needs.

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Data Migrations

Data is a valuable asset, even as applications change or evolve. Whether merging customer data after a company acquisition, consolidating systems, or retaining and cleaning data for compliance or analysis, effective data migration ensures consistency, accessibility, and accuracy. Properly handled migrations support seamless transitions and long-term data usability.

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Data Virtualization

Handling large datasets requires more efficient solutions than traditional extraction methods. Data Virtualization provides a smarter approach by optimizing queries and retrieving only the data required, in real time. This ensures performance is maximized while reducing unnecessary data processing.

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Data Warehouse Testing

Whether using Data Vault 2.0 or Kimball methodologies, systems adhere to specific rules and guidelines. While manual peer reviews can validate compliance, automating tests significantly improves efficiency and enhances code quality over time.

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Technologies Used

A wide range of technologies supports the processes of Data Warehousing, Migrations, Virtualization, and Testing, including:

• Data Warehousing Tools: dbt, Matillion, TimeXtender, Microsoft SSIS, Informatica PowerCenter, Oracle Data Integrator, Oracle Warehouse Builder
• Data Migration Tools: Snowflake, Oracle PL/SQL, Microsoft SQL Server Management Studio
• Data Virtualization Tools: Denodo Data Virtualization
• Testing Tools: QlikSense, Microsoft SQL Server Management Studio
• Development tools: Git, Airflow, Jinja, SQL

Kim-Ming is fluent in Dutch and English, and conversational in Cantonese.

If you want to chat about how Kim-Ming can help with your next project, drop him a line!