Tasks/Scope of Work: 

1. Data Governance and Compliance: 
-Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, HIPAA). 
-Implement data governance practices to maintain data quality and integrity 

2.Data Profiling and Assessment: 
-Analyze data sources to understand data structure, content, and quality issues. 
-Identify data anomalies, inconsistencies, and errors. 

3.Data Validation and Testing: 
-Develop and execute data validation tests to verify data accuracy. 
-Create test cases and scripts to validate data transformations and processes. 

4. Data Cleaning and Transformation: 
-Implement data cleaning and transformation processes to rectify data quality issues. 
– Standardize and normalize data to maintain consistency. 

5.Data Quality Metrics: 
-Define and monitor key data quality metrics and KPIs. 
-Create reports and dashboards to track data quality over time. 

6.Data Governance: 
-Establish and enforce data governance policies and procedures. 
-Ensure compliance with data quality standards and regulations.