Data Platform Engineer | ETL/ELT, SQL and PySpark
I build data pipelines and transformation processes with Microsoft Fabric, Power BI, SQL and PySpark. My thesis project combines data from CRAN and PyPI with a text classifier.
I develop and maintain internal data platforms and contribute to data engineering, integration and architecture initiatives. I design ETL/ELT processes and pipelines with Microsoft Fabric, Power BI, SQL and PySpark, with a focus on data availability, traceability and reliability.
I supported data integration, transformation and management in Data Platform projects. I developed and maintained pipelines, technical tests and documentation, and contributed to data modelling and automation.
My thesis brings package catalogues from CRAN and PyPI into a shared PostgreSQL model and evaluates text classification for AI/ML packages.
Official title: Análisis del entorno R y Python para AI y ML
I built a shared PostgreSQL model for packages, versions, artefacts, dependencies, links and contributors, with resumable ingestion and run, cursor and error logs. I compared MultinomialNB and ComplementNB using TF-IDF. The text separates AI/ML packages from unrelated ones; distinguishing core tools from support tools remains harder.
Tools and languages I have used at work and in my projects.
SpanishNative
EnglishUpper-intermediate · Cambridge B2
Completed. Average grade: 7.48/10.
Study period in Norway. Average grade: 8.5/10; main courses: Machine Learning and DevOps.