• Stepped up as acting lead of the data engineering team; delivered a complex project in 1 month that typically takes 3-4 months. Rapid delivery was critical due to an unexpected change in data suppliers.•Led the implementation of critical data integrations with third-party providers, enhancing data availability and accuracy on a large scale.•Drove the development of new data platform features, resulting in improved data quality and increased collaboration between the Data Science and Business Intelligence teams.•Oversaw all aspects of data engineering, ensuring seamless integration, scalability, and optimal performance.• Quickly integrated a new critical telematics data source, providing vital business continuity. Onboarded API feed using AWS Kinesis, Firehose, and Snowflake; built scalable data pipelines and DBT models processing billions of data points daily.• Worked closely with SREs to implement infrastructure as code using Terraform and Kubernetes, including dynamically partitioned Firehose streams.• Upgraded critical pipelines from batch to real-time streaming architectures using Kinesis.• Founded a data engineering book club to level up team skills. Shared learnings lifted overall data team effectiveness.• Launched a "Data and Coffee" club to connect data engineers and data scientists. Discussed developments in AI/ML, appealing to my mathematics background.• Spearheaded development of a CI/CD pipeline for DBT data modeling code using GitHub Actions, enabling increased quality and velocity through test-driven development.• Implemented the dbt Elementary package for advanced unit testing, source schema tests, and data quality checks; established CI/CD standards for the data team.• Partnered closely with BI and data science teams to enable advanced analytics on the new data feed.• Negotiated contracts with new telematics vendors to diversify data sources; formulated rigorous SLAs to ensure uptime and reliability.

• Led a high-performing team of developers, consistently delivering all features on time and surpassing sprint goals without requiring overtime.• Played a key role in shaping company culture through active involvement in the hiring process and participation in higher-level discussions on team productivity.• Ensured code quality by conducting thorough code reviews and providing tutorials on best practices in Python, resulting in a minimal tech debt and accelerated feature deployment.• Equipped the team with advanced pytest skills, enabling rapid iterations and promoting well-tested code across projects.• Designed robust and scalable RESTful APIs in Flask, capable of handling high traffic volumes and extensively documented using the swagger/openAPI standard.• Developed logical and future-proof PostgreSQL database schemas, minimizing the need for code refactoring and enhancing overall productivity.• Spearheaded the implementation of CI/CD pipeline tasks to automate testing of database-related code, saving significant hours previously spent on manual tests.

• Processed large datasets efficiently using pandas/dask.• Developed robust data pipelines independently.• Implemented unit tests for code quality assurance.• Analyzed extensive health datasets in collaboration with the data team, utilizing high-performance python libraries such as pandas and dask.• Established CI/CD pipelines from scratch.• Assumed significant responsibility and autonomy to revamp critical sections of the codebase, resulting in a 20-30 times speed enhancement through effective vectorization and modern pandas implementation.

During my summer break from university I helped two large businesses in Colchester move their businesses online. It was a pleasure to work with them. They have both massively increased sales, and one business is now planning on moving fully online as a result of my help.