Bede Abbott-White Email & Phone Number

London, Gb

London, Gb

London, England, United Kingdom

The greatest data and technology challenges of today can't be solved with carbon copy consultants or homogeneous thought. At Kubrick, we actively seek out and develop smart, passionate individuals from a breadth of backgrounds to bring business a fresh approach to realise the potential of data and next-generation technology and build sustainable solutions for a rapidly changing world.

Grove, England, United Kingdom

Collaborated closely with Performance and Race engineers to develop and maintain an in-team app, enhancing data visualisation for improved decision-making in a dynamic race setting. Utilising the MEAN stack, I managed both the client and server-side as a full-stack developer, devising solutions through services, components, and APIs, and accessing databases and cloud services.Designed and implemented a CI/CD pipeline for app deployment on AWS CodePipeline, integrating services such as Elastic Beanstalk, S3, and AWS Lambda, bolstered with unit testing with Jest and E2E testing via Puppeteer.Conducted real-time technical analyses of race data during high-pressure race weekends, comparing our drivers' lap times to optimise performance against competitors.Operated within an agile team, leveraging Azure DevOps for task management to ensure efficient delivery of software improvement and new functionalities.

London, England, United Kingdom

Transitioned AXA's data pipeline from Kedro to Databricks Jobs, facilitating scheduled data ingestion and enhancing debugging visibility through dependency-based orchestrated multi-task DAGs.Introduced and managed a Git Flow model for pull requests, incorporating version control and a YAML CI pipeline tied to Databricks, ensuring rigorous unit testing and linting safeguards for production code.Conducted comprehensive debugging and data reconciliation within Databricks notebooks using Python and Pyspark, ensuring dashboard accuracy. The introduction of a severity-ordered node failure table integrated into Power BI led to quicker resolution times and significantly reduced the risk of major failures.Established thorough documentation of all code and processes, including a continuous update page detailing node failures and resolutions. This approach enhanced the team's efficiency, allowing for streamlined debugging.