About Just
Passionate about designing and implementing scalable data solutions using modern data stack technologies to drive data-driven decision-making. Skilled in building robust ETL/ELT pipelines, optimizing Data Architectures, ensuring Data Quality in the models, and assure Data Governance through the data users.
Adaptable professional with 6+ years of international experience, excelling in diverse environments. Committed to continuous learning, problem-solving, and innovation.
Personal interests: Technology, philosophy & outdoor activities.
Catalan
Native or bilingual
Spanish
Native or bilingual
English
Fluent
Italian
Conversational
German
Basic
Can work on-site
Barcelona (up to 50km)
Experience
- MangoData EngineerRETAIL (SMALL BUSINESS)May 2023 - Today (3 years and 2 months)Barcelona, Spain
- Designed and optimized end-to-end data pipelines, reducing cloud costs and processing overhead while ensuring a scalable and efficient data warehouse architecture for large datasets.
- Led the development of a GA4 integration handling 100M+ events per day, designing and building scalable and efficient data models for Business Intelligence reporting and Data Science algorithms.
- Developed custom dbt macros to automate repetitive tasks, accelerating team workflows and improving development efficiency, for tests, filter on incremental models, merge predicates, documentation of columns and tables, creation of external tables and more.
- Design dbt model structures with incremental select statements to ensure efficient data processing and creation of control columns to prevent duplicates and maintain data integrity.
- Wallbox ChargersData Analytics EngineerAUTOMOBILEApril 2022 - February 2023 (10 months)Barcelona, Spain
- Designed and implemented a Data Governance application, ensuring company-wide enforcement of data sensitivity policies and model management.
- Built and maintained CI/CD pipelines, automating deployments, ensuring pre production stability, and validating changed models before production release.
- Designed and maintained a scalable data model in dbt, including the development of an Activity Schema to enhance analytics capabilities.
- Led data-driven analysis along with Data Analyst for identifying key factors in improving performance. Insights from this project increased connectivity rates and boosted the app's customer reviews on app.
- The Colvin CoData Analytics EngineerE-COMMERCEApril 2021 - February 2022 (10 months)Barcelona, Spain
- Led the migration from on-premises to Google Cloud Platform (GCP), designing and implementing a scalable data architecture.
- Orchestrated SQL transformations with dbt, ensuring efficient and maintainable data pipelines.
- Redefined models and optimized analytical databases to improve query performance and reporting efficiency.
- Developed and deployed REST API integrations within GCP services, enhancing data accessibility and automation.
- Built and maintained LookML models in Looker, enabling self-service analytics and improving business intelligence capabilities.
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Education
- Data Engineering NanodegreeUdacity2020Data Engineering Nanodegree
- AI & Machine Learning PostgraduateSatrudat.AI2020AI & Machine Learning Postgraduate
Certifications
- Databricks FundamentalsDatabricks2025
- Google AnalyticsGoogle2025