Temi Ogunlumade
Data Analyst @HM Land Registry
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WORK HISTORY
Data Analyst @HM Land Registry
Supported and led data migration efforts for land charges data for local authorities across England and Wales, standardised data schema, and applied bespoke business rules to fix gaps.• Collaborated with cross-functional teams to elicit requirements, execute data profiling, data analysis, and build data pipelines for Local Land Charges data transformation.• Engaged stakeholders to communicate project progress, challenges, and milestones effectively.
EDUCATION
Bowen University Iwo
Bachelor of Science - BS, Computer Science
Coventry University
Master's degree, Management of Information Systems and Technology
University of Cambridge
(Non-credit bearing Masters euqivalent), Data Science & Machine Learning
ABOUT TEMI OGUNLUMADE
Senior Analytics Engineer with 5+ years of experience delivering large-scale data transformation, migration, and analytics solutions across public sector, SaaS, fintech, and payments environments.I specialise in working with fragmented, legacy, and poorly documented data landscapes, building automated ELT pipelines, defining data quality thresholds, and translating complex multi-source datasets into trusted outputs that support real operational and delivery decisions.My work sits at the intersection of analytics and engineering. I design and implement data pipelines using Python, SQL, cloud platforms, and modern analytics tooling, while also owning data readiness, validation logic, and stakeholder-facing insight delivery. I have led and supported national-scale data migrations, application and performance analytics, and BI solutions that improve reliability, reduce risk, and enable confident decision-making.I work closely with engineers, delivery managers, product teams, and senior stakeholders to ensure data is not just moved or reported on, but genuinely fit for purpose.Core areas:Data migration & transformation · Analytics engineering · ELT/ETL automation · Data quality & AQL · BI & reporting · Application & performance analytics · Stakeholder decision support
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