Data Migration Lead

Candidate Description

With over two decades immersed in data engineering and migration, this professional excels at orchestrating end-to-end cloud data solutions across government, banking and insurance domains. Leveraging deep expertise in Azure, AWS, Snowflake, Databricks and Microsoft Fabric, they translate complex requirements into scalable architectures while maintaining a strong focus on data governance and stakeholder alignment.

Their technical acumen is evident in the successful delivery of large-scale migration programmes such as a Government Agency's move to Microsoft Fabric and an Insurance Group's enterprise data-retention initiative. Proficient in designing PySpark, Python and SQL pipelines, they have engineered robust ETL/ELT frameworks, implemented Informatica PowerCenter workflows and embedded monitoring through Azure Data Factory and Azure Monitor. Key achievements include securing cost-saving vendor collaboration, reducing data redundancy by 35% and automating manual processes to cut effort by 40%.

Complementing technical depth with leadership, they have guided cross-functional teams, mentored junior engineers and driven Agile delivery across organisations like a Banking Group, a Government Department and a Consulting Firm. Adept at stakeholder engagement and governance, they thrive in complex, regulated settings, consistently delivering high-quality, future-ready data platforms that empower informed decision-making and organisational growth.