Acerca de Jose
Senior Data Engineer con una sólida base en ingeniería y amplia experiencia en diseño, desarrollo y mantenimiento de soluciones de datos escalables en la nube. Especializado en la construcción y orquestación de pipelines ETL con DBT y Airflow, integrando múltiples servicios de AWS (S3, Lambda, ECS, Redshift, Glue, Step Functions, CloudWatch) para garantizar flujos de datos fiables, eficientes y observables.
A lo largo de mi carrera he liderado la implementación de arquitecturas analíticas orientadas a negocio, desde la modelización de datos y la automatización de procesos hasta la creación de APIs y la exposición de modelos para herramientas BI. Domino el desarrollo de modelos DBT incrementales, la definición de tests automáticos de calidad y la optimización de consultas SQL en entornos de alto volumen y alto rendimiento.
Colaboro estrechamente con equipos de negocio, analistas y otros ingenieros para convertir datos complejos en información accionable, reduciendo tiempos de procesamiento, mejorando la trazabilidad y potenciando la toma de decisiones basada en datos. He contribuido a mejorar la eficiencia operativa mediante pipelines más rápidos, modelos reproducibles y sistemas de control automatizados que aseguran la calidad de la información.
- Especialidades: DBT, Airflow, Python, FastAPI, AWS (S3, Redshift, ECS, Lambda, Glue, Kinesis), CI/CD, SQL, Docker, Kubernetes
- Experiencia destacada: Iberia LAE (Next Digital), Vodafone, Athento, Future Connections
- Ámbitos de trabajo: Arquitectura y modelado de datos, automatización de pipelines, desarrollo de APIs, monitorización y calidad de datos
Español
Bilingüe o nativo
Inglés
Competencia profesional completa
Acepta trabajo presencial
Granada (hasta 30 km)
Experiencia
- MANGOSenior Data EngineerMODA & COSMÉTICAnoviembre de 2025 - Hoy (7 meses)Barcelona, EspañaDesigned, built and evolved the data platform supporting product, retail, ecommerce and advanced analytics domains: creation of scalable data models, implementation of robust pipelines and integration of multiple cloud systems, ensuring data quality, governance and efficient access across the organization.Key responsibilities
- Designed and developed end-to-end data pipelines, using DBT for analytical modeling and transformation, and Airflow as the primary orchestrator for workflow scheduling, execution, and monitoring.
- Implemented ELT/ETL processes in Databricks, leveraging PySpark and Delta Lake for distributed processing of large-scale datasets and the consolidation of internal and external data sources.
- Integrated and operated AWS services, including S3, Lambda, ECS Fargate, Step Functions, and CloudWatch, to build cloud-native, scalable, and observable data solutions.
- Designed and optimized Snowflake models, applying best practices for partitioning, clustering, and cost optimization across dimensional and serving-layer datasets.
- Implemented data quality and observability frameworks, integrating DBT tests, automated validations, metrics, and Airflow alerts to ensure reliability and consistency.
- Collaborated with business, analytics, and product teams, translating functional requirements into technical solutions, integrating data models and datasets into BI tools, and enabling both real-time and batch use cases.
- Contributed to the design of cloud data-driven architectures, participating in decisions regarding governance, cataloging, versioning, and pipeline standardization.
Key achievements- Optimized critical pipelines, reducing processing times and improving stability of nightly workflows.
- Standardized DBT models and Airflow workflows through internal templates and conventions adopted across the team.
- Enhanced data availability and traceability for essential commercial datasets through new quality layers and automated testing.
- IberiaSenior Data EngineerAERONÁUTICA & AEROESPACIALseptiembre de 2024 - Hoy (1 año y 9 meses)Madrid, España
- Designed, developed and maintained ETL pipelines using DBT for data transformation and Airflow for orchestration and scheduling.
- Built and optimized APIs to deliver processed and enriched data to analytical and operational systems.
- Leveraged multiple AWS services (S3, Lambda, ECS, Redshift, CloudWatch, Step Functions) to build scalable and cloud-native data workflows.
- Implemented automated testing, monitoring and alerting within Airflow and DBT to ensure data quality, reliability and pipeline observability.
- Collaborated with cross-functional teams to integrate data models and APIs into BI and reporting platforms, improving data accessibility and decision-making.
- Vodafone EspañaMid Data EngineerTELECOMUNICACIONESoctubre de 2022 - septiembre de 2024 (1 año y 11 meses)Málaga, España
- Designed and implemented robust data pipelines using AWS services such as Glue, Lambda, and Kinesis, optimizing real-time data flow and processing.
- Managed and configured cloud databases like Redshift and RDS to store and query large volumes of data with high availability and performance.
- Implemented data storage solutions on S3, ensuring compliance with security policies and optimizing storage cost and performance.
- Optimized query performance and database storage through configuration tuning and index design, improving data access and processing efficiency.
- Monitored and maintained data quality by implementing monitoring processes and alerts, ensuring data integrity and accuracy at all times.
- Collaborated closely with development teams and data analysts to understand their needs and provide efficient and effective data solutions.
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Formación
- Python for Software EngineeringEscuela de Organización Industrial2020Data Engineer, Python Developer
- Grado ingeniería de sistemas de telecomunicaciónUniversidad de Málaga2018
Certificados
- AWS Certified Data Engineer - AssociateAmazon Web Services2022