Personal Statement
Data engineer with more than 4 years of professional experience in a fast-growing, tech startup in the renewable energy sector, where I started as an intern and ended up becoming the subject matter expert and the lead developer for the automated data pipelines of the company. Physics graduate passionate about maths, computing and deep tech; interested in data engineering, statistical learning and in the power of artificial intelligence to reshape the world for a better place.
Professional Experience
QBI Solutions
Data Engineer
- During the company's transition from a startup to a mature enterprise, I ended up becoming the subject matter expert and the lead developer for the automated data pipelines written in Azure Data Factory and T-SQL that effectively processed telemetry for over 3GW of operational renewable energy assets through advanced time series signal processing techniques, consistently reducing data processing times and optimizing database performance.
- Proposed the strategic migration of the analytical infrastructure from fragmented Azure resources to the unified Microsoft Fabric architecture, mitigating architectural risks and enhancing overall scalability.
- Directed the modernization of data processing logic, transitioning legacy Azure SQL databases to a modern big data stack: PySpark/SparkSQL processing and modular dbt models, all orchestrated by Fabric pipelines and on top of a Delta Lake storage architecture in Microsoft Fabric's OneLake.
- Authored comprehensive functional and technical specifications via Product Backlog Items (PBIs), translating complex product requirements into actionable engineering tasks for a cross-functional data team following Scrum methodology.
- Database architecture, data engineering logic, AI/ML integrations, infrastructure, product ownership on asset management module... everything everywhere all at once, whatever needed.
Data Analyst Intern
- Developed interactive Power BI dashboards and advanced T-SQL queries within Microsoft Azure to extract actionable insights, directly supporting renewable energy asset management and operations.
Education
University of Portsmouth
BSc (Hons) Physics
- Statistical Learning using Python, focusing on advanced regression modelling and forecasting methodologies, applying statistical tools for business/industry problems.
- Graduated First Class (1:1) with Honours.
Key Skills
- IT: T-SQL, Spark (advanced); Python, dbt, Excel (intermediate); PowerBI (basic).
- Certified: "Build Production-Ready Agentic-RAG Applications From Scratch" in Maven.
- Languages: Spanish (native), English (proficient).
Hobbies
to be completed by me later on