Martin Odea
Data Engineer @NatWest Group
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WORK HISTORY
Data Engineer @NatWest Group
London, GB
Key Responsibilities:• Design and provision data assets to support reporting, analysis, and data science requirements across the Commercial business.• Migration of on-premise (SAS, Teradata, Hadoop) data products to AWS/Snowflake, aligning with NatWest’s data strategy.• Design and automate ETL pipelines to collate data from multiple channels into robust, reusable data assets.• Serve as Snowflake DBA (approximately 20% of role), managing Snowflake database creation, governance, and change control, as well as implementing AWS stages and cross-domain sharing.Key Achievements:• Successfully migrated COVID Loans “Capital Repayment Holiday” asset to Snowflake, enabling MVP to be delivered to stakeholders.• Designed and implemented strategic Snowflake transactional data assets as part of the Commercial Deposits programme.• Delivered Fraud data feed for the Government COVID loan scheme, enriching existing data assets.• Received departmental accolades for optimizing Snowflake code efficiency, reducing credit consumption.• Delivered actionable analysis of departmental Snowflake credit consumption, pinpointing high-cost areas and initiating targeted deep-dive investigations. • Redeveloped the RM Scorecard ETL process, transitioning data from MS Access to SAS/Teradata, improving access for over 900 front-line staff across multiple business areas.
ABOUT MARTIN ODEA
Data professional with 19 years of diverse data experience, including 17 years in the Financial Services sector. For the past 7 years, has excelled as a Data Engineer, specializing in designing robust, scalable data pipelines, process re-engineering, and automation. Passionate about transforming data builds and feeds into actionable, automated solutions. Possesses expertise in cloud migrations (Snowflake, AWS) along with advanced SQL programming. Consistently drives strategic initiatives that align technology with business objectives while mentoring junior team members and ensuring strict adherence to data governance and quality standards.
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