Profile
Data engineer with a strong scientific foundation
Data Engineer with experience in cloud-native pipelines, data-flow orchestration and distributed computing on HPC. Strong mathematical foundation (9.0 GPA, honours in Probability, Linear Algebra and ML). Looking for a role with real technical ownership in a data team.
Strengths
- Design and implementation of end-to-end ETL/ELT pipelines.
- Production RAG systems: semantic search and LLM reranking.
- Reproducible cloud infrastructure with Terraform on GCP.
- Machine learning on high-dimensional data and HPC execution.
Languages
- Spanish — Native
- Catalan — Native
- English — Fluent (professional)
Contact
The fastest way to reach me is by email or LinkedIn.
How I work
1. Define the problem
Turn business or research needs into measurable objectives.
2. Reliable data
Validate sources, clean inconsistencies and monitor quality.
3. Model and evaluate
Compare baselines and advanced models with transparent metrics.
4. Deploy and iterate
Ship to production with reproducible infrastructure and continuous improvement.
Tech stack
Languages
PythonC++SQL · PostgreSQLRJava
Data engineering
ETL / ELTAirflowdbtData validationData qualityRAG
Cloud & Infrastructure
GCPBigQueryCloud StorageCloud RunVertex AITerraformDockerLinuxGit
HPC
SLURMDistributed executionHPC cluster
ML & Analysis
scikit-learnXGBoostElastic NetRandom ForestPandasFeature engineeringscRNA-seq
Education
BSc Data Science — UOC
2023 — 2027
9.0 GPA · Honours in Probability and Linear Algebra · Distinction in Machine Learning and Bayesian Modelling.
Pure Mathematics — UNED
Ongoing
Selected coursework.