· Lead end-to-end data migration projects, including planning, mapping, extraction, transformation, loading, and validation.
· Design and implement data migration strategies to migrate large volumes of structured and unstructured data across various environments (cloud, on-premises, hybrid).
· Collaborate with cross-functional teams, including data architects, business analysts, and developers, to gather migration requirements and align data migration processes with business objectives.
· Ensure data integrity, security, and compliance during migration, adhering to GDPR and other data protection regulations.
· Develop ETL pipelines using tools like AWS Glue, or similar technologies to automate data migration processes.
· Optimize data migration performance through efficient data transformation, filtering, and mapping techniques.
· Monitor data migration progress and resolve issues related to data quality, schema mismatches, or system compatibility.
· Create and maintain detailed documentation, including migration plans, data mapping, transformation rules, and post-migration validation reports.
· Conduct data validation and testing post-migration to ensure successful data transfer and accuracy in target systems.
· Provided technical support and troubleshooting during the migration process, ensuring minimal downtime and business disruption.
· Experience with database management systems such as SQL Server, Oracle, MySQL, or PostgreSQL, and proficiency in data modeling and schema design.
· Expertise in cloud platforms like AWS Cloud for cloud-to-cloud or cloud-to-on-premises data migrations.
· Implement data masking, anonymization, and encryption techniques to safeguard sensitive data during migration.
· Strong understanding of data governance, lineage, and auditing principles to ensure transparent and compliant data migration practices.
Any Graduate