My Certifications & Certificates
Describe the available compute options for workloads performed on the databricks data intelligence platform
List the products and features databricks offers for different data-centric needs within the databricks platform
Navigate the databricks workspace UI
Develop an agreed upon set of terminology and concepts for discussing Lakehouse Architecture
Define the framework of a modern data and AI platform
Explain the range of functions, capabilities, and use cases for data lakehouses within enterprise businesses.
Describe the rules that make up the guiding philosophy behind a data lakehouse architecture
Use the guiding princples of the lakehouse architecture to verify that your organizations data strategy aligns with the vision of the Databricks Data Intelligence Platform.
Identify the componenets of a lakehouse architecture by reviewing available reference architecture for your given cloud implementation.
Differentiate between the different roles and responsibilities of Databricks Data Intelligence platform features and products and those provided by the cloud service provider in a lakehouse architecture.
Describe the well-architected framework adopted by the three largest cloud service providers.
Explain how Databricks has adapted and built upon the cloud well-architected framework for the well-architected lakehouse framework.
List the seven pillars of the well-architected lakehouse framework.
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<div class="centered-title">My Certifications & Certificates</div>
<details class="callout callout-style-simple clean-dropdown">
  <summary>Certifications</summary>
  
  <h2>AZ-900: Microsoft Azure Fundamentals</h2>
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Microsoft Certified Azure Fundamentals
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  <h2>CDP-101: Consultant Development Program at Long View Systems</h2>
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Consultant Development Program 101
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  <h2>CDP-201: Consultant Development Program at Long View Systems</h2>
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Consultant Development Program 201
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</details>
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# Course Certificates
## Lakehouse Architecture with Databricks
<!--See https://customer-academy.databricks.com/learn/mycourses to view the course-->
* Course ID: E-VP9791
* Completed 5/5/2025
::: {#fig-lakehouse height=60%}

Certificate of Completion: Get Started With Lakehouse Architecture
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<details>
<summary>Course Topics and Objectives</summary>
* See the course [here](https://www.databricks.com/learn/training/get-started-lakehouse-architecture#data-video){target="_blank"}
* Learning Objectives:
> Describe the available compute options for workloads performed on the databricks data intelligence platform
> List the products and features databricks offers for different data-centric needs within the databricks platform
> Navigate the databricks workspace UI
> Develop an agreed upon set of terminology and concepts for discussing Lakehouse Architecture
> Define the framework of a modern data and AI platform
> Explain the range of functions, capabilities, and use cases for data lakehouses within enterprise businesses.
> Describe the rules that make up the guiding philosophy behind a data lakehouse architecture
> Use the guiding princples of the lakehouse architecture to verify that your organizations data strategy aligns with the vision of the Databricks Data Intelligence Platform.
> Identify the componenets of a lakehouse architecture by reviewing available reference architecture for your given cloud implementation.
> Differentiate between the different roles and responsibilities of Databricks Data Intelligence platform features and products and those provided by the cloud service provider in a lakehouse architecture.
> Describe the well-architected framework adopted by the three largest cloud service providers.
> Explain how Databricks has adapted and built upon the cloud well-architected framework for the well-architected lakehouse framework.
> List the seven pillars of the well-architected lakehouse framework.
</details>
## SQL Essential Training 
[SQL Essential Training (LinkedIn Learning)](https://www.linkedin.com/learning/sql-essential-training-20685933/the-data-driven-world-19067626?u=264700066){target="_blank"}
## Research Ethics
* Completed 12/1/2025
::: {#fig-research height=60%}

Certificate of Completion: Ethical Conduct for Research Involving Humans
:::
:::
## Additional Courses taken (without a Certificate)
* [Get started with Azure DevOps](https://learn.microsoft.com/en-us/training/paths/evolve-your-devops-practices/){target="_blank"}
* [Get started with Microsoft Fabric](https://learn.microsoft.com/en-us/training/paths/get-started-fabric/){target="_blank"}
* [Implement a data engineering solution with Azure Databricks](https://learn.microsoft.com/en-us/training/paths/azure-databricks-data-engineer/){target="_blank"}
* [Implement Generative AI engineering with Azure Databricks](https://learn.microsoft.com/en-us/training/paths/implement-generative-ai-engineering-azure-databricks/){target="_blank"}
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