Freelancer profile translated to English.
Back to original languageAbout Francisco
I help companies automate their data processes, connect disparate sources, and transform manual or messy information into reliable, structured data ready for analysis, reporting, or decision-making.
I particularly work with companies that need to move beyond Excel-based processes, manual downloads, fragile integrations, or reports that rely too heavily on repetitive tasks. I can help you design and develop ETL/ELT pipelines, integrate data from APIs, ERPs, databases, or files, and prepare clean data models for Power BI, dashboards, analytics, or internal exploitation.
I am a Data Engineer specialized in Python, SQL, PySpark, Apache Airflow, Apache Spark, GCP, AWS, PostgreSQL, MySQL, Data Warehouse, Data Lake, and Medallion architectures. My approach combines technical development, business vision, and good architectural practices so that solutions not only work but are maintainable, scalable, and easy to evolve.
I can help you with projects such as:
- Automation of recurring reports.
- Development of ETL/ELT pipelines.
- Integration of APIs, ERPs, SaaS, databases, and Excel/CSV files.
- Design of data models for reporting and analytics.
- Optimization of Spark, SQL, or existing pipelines.
- Orchestration of workflows with Apache Airflow.
- Definition of Data Lake, Data Warehouse, or Medallion architectures.
- Data cleaning, transformation, and validation.
- Technical documentation and knowledge transfer.
My goal is for your data to stop being an operational problem and become a solid foundation for analysis, decision-making, and scaling.
Spanish
Native or bilingual
English
Fluent
Can work on-site
Madrid (up to 50km)
Experience
- Grupo DiusframiData EngineerTECHApril 2025 - Today (1 year and 3 months)Madrid, Spain• Design and development of scalable ETL/ELT pipelines in cloud environments (GCP), defining processing flows and data structures for analytics.• Definition of data models in Data Warehouse and Medallion Architecture.• Orchestration of complex workflows with Apache Airflow, managing dependencies, scheduling, and best practices.• Performance optimization in Apache Spark, applying partitioning and tuning.• Automated integration of data from SaaS systems and ERPs via APIs.
- SOLUTEData EngineerTECHApril 2024 - April 2025 (1 year)Toledo, Spain• Design and development of data pipelines with Apache Airflow, Python, and Spark.• Large-scale data processing and transformation, applying best practices for structuring and performance.• Collaboration in defining data models for analytical exploitation.• Development of APIs for data access and predictions.
- AKKODISCommunication Systems Engineer for AirbusDEFENSE AND MILITARYFebruary 2023 - April 2024 (1 year and 2 months)Getafe, Madrid, Spain• Coordination with client and interface management.• Documentation preparation• System architecture definition
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Education
- Master in Big Data AnalysisEuropean University2024Máster en análisis de datos masivos (Big Data)
- AWS Certified Data Engineer – AssociateAWS Certified Data Engineer – Associate