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Alvaro LarrayaAL

Alvaro Larraya

Data Engineer

160 €/día
Madrid, ES
3-7 años

Tiempo medio de respuesta: 1h

Acerca de Alvaro

I specialize in architecting data ecosystems where reliability isn't an afterthought it's the foundation.

My approach combines robust pipeline engineering with a strict adherence to Data Quality, Governance, and Scalable Infrastructure.

I bridge the gap between complex raw data and production ready environments by implementing software engineering best practices: CI/CD, automated testing, and Infrastructure as Code (IaC). I don't just move data; I ensure its integrity and accessibility at scale.

What I bring to the stack:

Reliable Engineering: Designing end to end pipelines that prioritize uptime and observability.

Governance & Quality: Implementing frameworks that transform "big data" into a trusted single source of truth.

Infrastructure & DevOps: Streamlining deployments and managing cloud-native environments for maximum efficiency.

I thrive on high stakes technical challenges and the continuous optimization of data workflows. I’m driven by the discipline of building systems that are as clean as they are powerful.

Technical Focus: Data Lifecycle Management, System Architecture, Pipeline Automation, & Cloud Infrastructure.
  • Español

    Bilingüe o nativo

  • Inglés

    Competencia profesional completa

  • Francés

    Nociones

Acepta trabajo presencial
Madrid (hasta 50 km)

Experiencia

  • Accenture
    Data Engineer
    CONSEJO & AUDITORÍA
    septiembre de 2025 - Hoy (9 meses)
    Madrid, España
    Slashed GCP infrastructure costs by +€50K/month by redesigning and fine tunin g real time streaming queries, boosting overall system performance. Constructed secure cloud workflows for the internal contract management pla tform, integrating highly sensitive B2B pricing, dea dlines, and personnel records. Championed Infrastructure as Code to autonomously provision environments like dev, QA, UAT or prod, and establish highly reliable continuous delivery processes. Aligned with Data Owners to enforce rigorous authentication mechanisms and credential vaults, safeguarding confidential enterprise assets.
    Google Cloud Platform (GCP) Airflow SQL Spark DBT
  • Jakala
    Data Engineer
    diciembre de 2023 - agosto de 2025 (1 año y 8 meses)
    Engineered robust, end-to-end ELT pipelines using massive datasets from diverse sources (Google Analytics, Google Ads, Facebook Ads) into BigQuery. Architected scalable API call structures, optimized SQL transformations, and managed complex data orchestration for enterprise clients (Barceló Hotel Group, Mutua Madrileña, Ivirma). Partnered directly with business stakeholders to answer complex questions through data. Translated raw datasets into high quality Looker Studio reports, uncovering actionable insights that profoundly improved business understanding and strategic decision making. Demonstrated strong technical ownership by enforcing strict security protocols and secret management. Maintained exceptionally high code quality standards by applying Test Driven Development (TDD) across projects. Spearheaded the development of an extensive Python API integrated with ChatGPT to streamline internal knowledge retrieval. Built scalable architectures relying on first principles reasoning, and implemented fully automated CI/CD pipelines for seamless testing, documentation, and deployment.

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Formación

  • Computer Science
    Universidad Pública de Navarra
    Computer Science
  • GCP Professional Data Engineer GCP Professional Cloud DevOps Engineer GCP Associate Data Practitioner GCP Generative AI Leader GCP Cloud Digital Leader
    GCP Professional Data Engineer GCP Professional Cloud DevOps Engineer GCP Associate Data Practitioner GCP Generative AI Leader GCP Cloud Digital Leader

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