Freelancer profile translated to English.
Back to original languageAbout Jose
Senior Data Engineer with a strong engineering background and extensive experience in designing, developing, and maintaining scalable cloud data solutions. Specializing in building and orchestrating ETL pipelines with DBT and Airflow, integrating multiple AWS services (S3, Lambda, ECS, Redshift, Glue, Step Functions, CloudWatch) to ensure reliable, efficient, and observable data flows.
Throughout my career, I have led the implementation of business-oriented analytical architectures, from data modeling and process automation to API creation and exposing models for BI tools. I am proficient in developing incremental DBT models, defining automatic quality tests, and optimizing SQL queries in high-volume, high-performance environments.
I collaborate closely with business teams, analysts, and other engineers to transform complex data into actionable insights, reducing processing times, improving traceability, and empowering data-driven decision-making. I have contributed to improving operational efficiency through faster pipelines, reproducible models, and automated control systems that ensure data quality.
- Specialties: DBT, Airflow, Python, FastAPI, AWS (S3, Redshift, ECS, Lambda, Glue, Kinesis), CI/CD, SQL, Docker, Kubernetes
- Featured experience: Iberia LAE (Next Digital), Vodafone, Athento, Future Connections
- Areas of work: Data architecture and modeling, pipeline automation, API development, data monitoring and quality
Spanish
Native or bilingual
English
Fluent
Can work on-site
Granada (up to 30km)
Experience
- MANGOSenior Data EngineerFASHION AND COSMETICSNovember 2025 - Today (7 months)Barcelona, SpainDesigned, 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 EngineerAVIATION AND AEROSPACESeptember 2024 - Today (1 year and 9 months)Madrid, Spain
- 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 EngineerTELECOMMUNICATIONSOctober 2022 - September 2024 (1 year and 11 months)Málaga, Spain
- 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.
Recommendations
Be the first to recommend Jose
Help this freelancer shine by sharing your experience working together.
These freelancer profiles also match your criteria
Agatha Frydrych
Backend Java Software Engineer
4.7
(3)
2
Baptiste Duhen
Fullstack developer
4.6
(4)
5
Amed Hamou
Senior Lead Developer
4
(2)
7
Audrey Champion
Web developer
4.3
(3)
4
Education
- Python for Software EngineeringEscuela de Organización Industrial2020Data Engineer, Python Developer
- Grado ingeniería de sistemas de telecomunicaciónUniversidad de Málaga2018
Certifications
- AWS Certified Data Engineer - AssociateAmazon Web Services2022