I am an end-to-end Data Engineer with a skillset that is underpinned by my analytics engineering expertise. I have a track record of designing, building and maintaining scalable data pipelines and data models that turn raw source data into reliable, analytics and agentic-ready datasets at enterprise scale, primarily within the Finance and Telecommunications industries.
This experience has taught me how to operate and navigate Data Mesh Architecture and Data Governance, while managing multiple projects and stakeholders in high-pressure environments.
I am a Certified dbt Developer, and this core skillset sits at the heart of how I work, bridging the gap between raw ingested data and consumption-ready data products through dbt's modularisation, orchestration, testing and documentation features.
My background in Power BI and Tableau as a BI Specialist gives me a genuine understanding of how data gets consumed and reported on, which informs how I design and build pipelines, with the end-user and underlying business value in mind.
I have experience building pipelines with the following:
Data Platforms: dbt, Snowflake, Google BigQuery, MS SQL Server.
Languages: SQL, Python, Jinja, YAML Cloud: Google Cloud Platform, AWS (S3, EC2, Lambda).
Dev & Workflow: GitHub, GitLab, CI/CD, AI Skills Pipelines, Agile, Docker, Kestra.
APIs: REST APIs, Forsta Decipher, TfL's BikePoint, Amplitude Analytics, Mailchimp.
BI & Analytics: Certified Power BI, Certified Tableau, Certified Alteryx, MicroStrategy.
Outside of work, I'm a fluent Spanish speaker and enjoy live music, following my favourite sports teams, eating out, and exploring London.