Test Strategy Development for Azure Datalakehouse

I'm seeking a professional with deep expertise in data engineering and Azure Data Lakehouse to develop a comprehensive technical test strategy for my project. The primary focus of this project revolves around data storage and management, with an emphasis on ensuring data security and privacy.

Key Areas of Focus:
- Test strategy should cover all key components of the Azure Data Lakehouse, specifically the Data Lake, Data Warehouse, and Metadata Management.
- Special attention should be given to data security and privacy, incorporating robust testing protocols to safeguard against potential risks.
- Incorporate performance testing to ensure system efficiency under various workloads.
- Include testing of data ingestion and ETL pipelines to verify data integrity and accuracy.
- Ensure that disaster recovery protocols are robustly tested for data resiliency and business continuity.
- Conduct thorough testing on data transformation processes to ensure data correctness and reliability.
- Evaluate system scalability to handle growing volumes of data efficiently without compromising performance.
- Verify compliance with regulatory standards such as GDPR and HIPAA through rigorous testing processes.
- Deploy an automated testing framework to facilitate continuous integration and continuous deployment (CI/CD).
- Integrate data quality testing to ensure high standards of data completeness, consistency, and accuracy.
- Examine user access management and test various roles and permissions to secure sensitive data.
- Ensure rigorous testing of error handling mechanisms to maintain data integrity during failure events.

Ideal Skills and Experience:
- Proven experience in data engineering, particularly with Azure Data Lakehouse platform.
- Strong understanding of data security and privacy issues in data storage and management.
- Ability to develop comprehensive and effective test strategies.

The aim is to identify and mitigate vulnerabilities in data storage and management.