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.

Data is in every industry, but how you work with your data affects to what degree it can benefit your company. Connecting data from different data sources can be a challenge. Which customer data is leading? How can we improve the performance of our reports? Based on what information was this decision made?

Data Warehousing

A Data Warehouse stores current and historical data in one central point. Operational data is uploaded and distributed throughout the different data warehouse layers. Each layer has its own key function. Different tools can be used to create a data warehouse, and it can be created on site or in the cloud.

Technology

dbt core
Matillion
TimeXtender
Microsoft SSIS
Informatica PowerCenter
Oracle Data Integrator
Oracle Warehouse Builder

Data Migrations

Applications come and go, but what do we do with the data? Merge new customer data after acquiring a company? For different purposes data must be retained and cleaned.

Technology

Snowflake
Oracle PL/SQL
Microsoft SQL Server Management Studio

Data Virtualisation

Extracting large quantities of data is not always the best solution. It can be that guiding the data is a better solution. Retrieving data real time and on time is the challenge these days. Data Virtualisation optimizes queries and retrieves only what is necessary when it’s necessary.

Technology

Denodo Data Virtualization

Data Warehouse Testing

Either you are working with Data Vault 2.0 or Kimball, every system has their own guidelines. These guidelines can be checked manually case-by-case during a peer review with a team of developers. But taking time to automate the tests can save time and increase the quality of the code in the long run.

Technology

QlikSense
Microsoft SQL Server Management Studio

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!