About
Data Engineer
Dedicated and results-driven Data Engineer with a strong background in statistical analysis, machine learning, and data-driven decision-making. Experienced in leveraging advanced data manipulation techniques and predictive modelling to extract valuable insights from complex datasets. Proven ability to translate data into actionable business solutions and collaborate effectively with cross-functional teams.
- Birthday: 17 May 1996
- Degree: Master in Data Science
- City: Barcelona, Spain
- Languages: English, Spanish, Catalan
Education
Master in Data Science
2021 – 2022
Open University of Catalonia
- Advanced statistics & data mining
- Reinforcement learning & data visualization
- Data warehousing & NoSQL architectures
- Big data analytics
Bachelor of Electronics Engineering
2014 – 2019
Polytechnical University of Catalonia
- Electronics PCB design
- Object-oriented programming
- PLC & industrial robot programming
Experience
Data Engineer
2025 – Present
Next Digital, Spain
- Data ingestion from multiple sources (APIs, databases, files)
- Data transformation and modelling
- Large-scale processing using Big Data techniques (Elastic MapReduce)
- Design and implement data architecture and pipelines for end-to-end projects
- Key projects:
- Predictive Maintenance — Orchestrate pipelines and generate data inputs for ML models that predict aircraft failures before they occur
- 400 Hz — Provide near real-time data for monitoring aircrafts connected to 400 Hz power sources visualized on an interactive map
Data Engineer
2022 – 2024
Optica Universitaria, Spain
- Data warehouse with multidimensional models and incremental ETL pipelines
- Real-time analytics dashboards to monitor company-wide sales
- IBM Cognos Analytics administration and advanced reporting
- Time series ML models to forecast future sales
Data Analyst
2019 – 2020
Continental Automotive, Spain
- Interactive QlikView dashboards for customer quality complaint analysis
- Root cause analysis from multiple on-premise data sources
- Automated alerts for new customer complaints
Technologies
Tools and languages I use consistently in day-to-day operations, applying best practices in production environments:
Python
SQL
Git
Docker
Airflow
DBT
Spark
Kafka
AWS
Power BI
MS Fabric
ClickHouse
Let's Connect
Reach out through LinkedIn and let's talk!