What's the best way to showcase your data warehouse design portfolio and projects?

1 Choose relevant projects

The first step is to select the projects that best reflect your data warehouse design skills and achievements. You don't need to include every project you've ever worked on, but rather focus on the ones that are most relevant to your target audience, industry, or domain. For example, if you're applying for a job in the health care sector, you might want to highlight your data warehouse design projects related to health care data, such as patient records, claims, diagnoses, treatments, etc. You should also consider the complexity, scope, and impact of your projects, and showcase the ones that demonstrate your ability to handle challenging data warehouse design scenarios and deliver valuable insights.

2 Describe your role and responsibilities

The next step is to describe your role and responsibilities in each data warehouse design project. You should clearly state what you did, how you did it, and why you did it. For example, you can explain how you gathered and analyzed the data warehouse requirements, how you designed the data warehouse architecture and schema, how you implemented the ETL (extract, transform, load) processes, how you tested and validated the data quality, how you optimized the data warehouse performance, and how you documented and communicated your data warehouse design solutions. You should also highlight your skills and tools that you used in each project, such as data modeling, SQL, data integration, data visualization, etc.

3 Provide evidence and examples

The third step is to provide evidence and examples that support your data warehouse design claims and achievements. You should show, not just tell, what you did and what you delivered. For example, you can include screenshots, diagrams, charts, or reports that illustrate your data warehouse design outputs and outcomes. You can also use code snippets or queries to show how you implemented or queried your data warehouse. However, be careful not to reveal any confidential or sensitive information from your projects, and respect the privacy and security of your data sources and clients. You can anonymize, mask, or aggregate the data if necessary, or use dummy or sample data instead.

4 Organize and format your portfolio

The fourth step is to organize and format your data warehouse design portfolio in a clear and professional way. You should structure your portfolio in a logical and consistent way, such as by project name, date, industry, or domain. You should also use headings, subheadings, bullet points, and white space to make your portfolio easy to read and scan. You should also use appropriate fonts, colors, and images to make your portfolio visually appealing and engaging. You can use online tools or platforms to create and host your data warehouse design portfolio, such as GitHub, Google Sites, WordPress, or LinkedIn.

5 Update and review your portfolio

The final step is to update and review your data warehouse design portfolio regularly. You should keep your portfolio current and relevant by adding new projects, skills, or tools that you've learned or used. You should also review your portfolio periodically and remove any outdated or irrelevant projects, or improve any weak or unclear points. You should also ask for feedback from your peers, mentors, or experts in the data warehouse design field, and incorporate their suggestions or comments. You should also check your portfolio for any errors, typos, or broken links, and fix them as soon as possible.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?