Luis Núñez

I’m Luis Núñez, an Analytics Engineer based in Barcelona. I build the layer that turns raw data into decision-ready datasets and dashboards — the glue between the engineers who produce data and the analysts, scientists, and stakeholders who consume it.

📄 Download my CV (PDF)

Education

M.Sc., Data Science & Data Engineering — Universidad de Castilla-La Mancha · 2024 – 2025 Python, AWS, Spark, InfluxDB, pandas, MLflow, medallion data-lake patterns.

B.Eng., Engineering and Management (Honors) — University of Applied Sciences Ingolstadt · 2019 – 2023

Experience

Amazon — Business Intelligence Engineer · Barcelona / Munich / Luxembourg · 2022 – Present

  • Architected an automated SLA-claim pipeline across 13 EU countries and 40+ carriers (SQL, Redshift, S3, Lambda) with significant financial recovery impact.
  • Built analytics pipelines processing large-scale logistics data, identifying underperforming carriers and driving measurable cost savings.
  • Productionized EU-wide SQL data models powering performance monitoring across 14 countries and 40+ stakeholders.
  • Developed KPI and volume-tracking frameworks comparing forecasts vs actuals, contributing to network optimization savings.
  • Optimized complex SQL transformations on petabyte-scale datasets — 40% performance improvement and reduced compute costs.
  • Built automated ETL workflows (Python + SQL + Redshift) for ingestion, transformation, and validation of high-volume operational datasets.

ASTech (AUDI AG) — Software Developer · Ingolstadt, Germany · 2020 – 2021

  • Developed C++ components (ADTF3) and automated dependency visualization with Python & GraphQL.

What I work with

  • SQL — CTEs, window functions, query optimization, dimensional modeling
  • Data Modeling — medallion (bronze/silver/gold), star schema, slowly-changing dimensions
  • ETL / ELT — AWS Lambda, Python (pandas, PySpark), Prefect, scheduled orchestration
  • Cloud — AWS (S3, Lambda, Redshift, Glue, Athena), PostgreSQL (Supabase), InfluxDB
  • BI — Preset / Superset, QuickSight, Tableau, stakeholder-oriented dashboard design
  • Languages — English C1 · German B1 · Spanish Native · Catalan C1

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