Conduct a thorough assessment of existing data sources to identify data quality issues, inconsistencies, and gaps.

Profile data to understand its structure, relationships, and dependencies.

Collaborate with stakeholders to define data mapping rules from source to target systems.

Develop and implement data transformation processes to ensure compatibility between systems.

Implement data quality checks and validation procedures to ensure the accuracy and completeness of migrated data.

Investigate and resolve data quality issues, working closely with the data engineering team.

Create comprehensive documentation for data migration processes, including data dictionaries, mapping documents, and transformation rules.

Maintain clear and detailed records of data quality assessments and issue resolutions.

Work closely with data engineers, business analysts, an...