ETL Migration Lead

Candidate Description

With more than eleven years of progressive data-engineering experience, this professional excels in designing and governing enterprise-scale integration solutions across banking, insurance, publishing and healthcare sectors. Adept at leveraging Azure, Snowflake and Informatica platforms, they combine deep ETL expertise with a keen focus on data quality, governance and visual analytics.

Their technical acumen is highlighted through the delivery of robust Azure Data Factory pipelines that move critical workloads from on-prem Oracle systems to cloud data lakes, the integration of Apache Kafka for near-real-time ingestion, and the construction of IDQ-driven scorecards that embed data quality directly into ingestion flows. Proficiency spans Python scripting, Databricks, Power BI dashboards, and Agile toolchains such as Azure DevOps, JIRA and Confluence, ensuring solutions are automated, reusable and aligned with business objectives.

Beyond hands-on engineering, they demonstrate leadership as a Data Quality Lead and Scrum Master at a Consulting Firm, facilitating sprint ceremonies, mentoring junior engineers and driving stakeholder engagement for on-time, high-quality deliveries. Their blend of technical depth, governance focus and collaborative mindset positions them as a valuable asset for organisations seeking to modernise data landscapes while upholding stringent quality and compliance standards.