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Aitor LlanosAL

Aitor Llanos

Cloud Data engineer

430 €/día
3 proyectos
Madrid, ES
3-7 años

Tiempo medio de respuesta: Algunos días

Acerca de Aitor

I’m a Data & Cloud Consultant with 5+ years of experience designing and optimizing data-driven solutions for enterprise clients. My background spans full-stack development, cloud engineering, and big data analytics, enabling me to deliver end-to-end value—from backend microservices to scalable cloud data platforms. I blend deep technical skills with leadership, communication, and business impact focus.

At CaixaBank, I developed robust microservice contracts and contributed to agile practices as a Full-Stack Developer. Later, as a Big Data Engineer, I led the Guardrails team in the cloud migration of a EuroStoxx 50 bank. I built cost-efficient pipelines using Apache Spark (Scala) on Azure (Databricks, Synapse, Power BI), and implemented automation and monitoring on AWS (Lambda, SageMaker, Athena, CloudWatch, QuickSight) using Python/Boto3 scripts for cost control and governance. I worked closely with stakeholders to ensure alignment and agile delivery.

Currently, I’m a Senior Cloud Data Engineer at Izertis, leading projects for clients like Viajes El Corte Inglés. I design data architectures, manage ELT pipelines with BigQuery & Dataform, automate workflows with Cloud Functions, and build secure, lifecycle-aware Data Lakes. I also lead technical teams, oversee documentation, and manage client engagement and project scoping. I integrate FinOps to optimize cloud costs and ensure compliance.

Since 2024, I also consult independently in Data Governance and Data Quality. I support Heineken by defining data quality rules with PySpark, aligning them with governance policies, and maintaining daily contact with business and technical teams to drive results.

My passion is bridging data engineering and business needs—delivering secure, scalable, and cost-effective solutions. Open to freelance or contract roles in cloud data platforms, governance, or digital transformation. Let’s connect!
  • Español

    Bilingüe o nativo

  • Inglés

    Bilingüe o nativo

  • Alemán

    Competencia profesional básica

Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto

Experiencia

  • Schneider Electric
    AWS Data Engineer
    julio de 2025 - diciembre de 2025 (5 meses)
    Developed Terraform code to provision and manage AWS cloud resources.
    Optimized data engineering workflows using AWS Glue Notebooks.
    Reviewed and enhanced AWS Lambda function code to improve performance and maintainability.
    Built end-to-end datasets from RAW to GOLD layers using AWS Glue and AWS Glue Data Catalog.
    Implemented data governance and access control policies with AWS Lake Formation.
    Extracted business insights through SQL analytics using AWS Athena and AWS Redshift.
    Designed and implemented CI/CD pipelines with GitHub Actions to automate Terraform deployments.
    Terraform AWS Glue Github Actions Spark Python
  • HEINEKEN
    Data Governance Technical Lead
    VINOS & BEBIDAS ESPIRITUOSAS
    octubre de 2024 - Hoy (1 año y 8 meses)
    • Responsible for defining strategic direction and technical standards for data quality, cataloging, and governance processes.
    • Implementation of data governance practices and quality rule measurement using PySpark.
    • Daily client interaction for requirements gathering and solution delivery.
    • Definition and monitoring of data quality KPIs to ensure business alignment.
    • Design and development of data quality dashboards in Power BI, integrating rule execution results and business KPIs for remediation tracking.
    • Support in audits and strengthening of data governance frameworks.
    • Implementation and administration of data cataloging and governance models in Collibra, including metadata enrichment, data lineage, and stewardship assignment.
    • Collaborated with business and technical data owners to ensure end-to-end governance adoption.
    • Defined remediation workflows and ownership responsibilities based on quality thresholds.
    • Led workshops with data owners to define quality rules, thresholds and remediation strategies.
    • Ongoing monitoring and governance reinforcement, ensuring sustainable data quality over time.
    • Enabled modular onboarding of new data domains with reusable quality patterns.
    • Improvement of data quality by 30%
    Databricks Microsoft Azure PySpark Data Governance Apache Spark
  • CAPGEMINI
    Full-Stack Developer
    HIGH TECH
    julio de 2020 - enero de 2022 (1 año y 6 meses)
    Working for the customer Caixabank:
    Development microservices with Spring boot
    2020 – 2022
    Development with React.js
    Training new developers
    Team management
    Creation of contracts for microservices
    Jira, Spring Boot, Java , React, YAML, GIT
    Atlassian JIRA Spring boot JavaScript React.js YAML Git JPA SQL

Reseñas

4,0

de 1 valoraciones

E

Erik

Head of I&D Spain - Capgemini APPS Spain

Proyecto de más de 1 año

-

Revisado el 15/12/2025

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Formación

  • Master's Degree in Big Data Analysis & AI for Business,
    Alfonso X el Sabio University
    2023
    Master's Degree in Big Data Analysis & AI for Business,
  • Degree in Computer Software Engineering,
    University of Oviedo
    2022
    Degree in Computer Software Engineering,

Certificados

Conjunto de habilidades profesionales (50)

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