Spain
Data Engineer with a Data Science background, focused on turning messy, real-world data into reliable data products. I design and build data foundations—mainly PostgreSQL, SQL and Python—so teams can trust their metrics, power backend services, and accelerate analytics/ML. In my current role, I built an operational PostgreSQL database from scratch (staging → production), implemented stored procedures/functions for KPI aggregations, and set up scheduled processing to keep product metrics up to date. I also collaborate closely with data scientists to deliver clean, feature-ready datasets, and I still enjoy hands-on analysis in Python to detect patterns and translate them into practical rules. Previously, I built Power BI reporting and deployed ML solutions (e.g., late-payments prediction), which helps me bridge engineering, analytics and business impact.
- Designed and built an operational PostgreSQL database from scratch hosted in Azure (data model, schema, constraints, indexing,partitioning), taking it from staging to production and owning ongoing maintenance, reliability, and performance. - Developed SQL/PLpgSQL stored procedures and functions to compute core aggregations and business metrics consumed by backend services and internal reporting. - Implemented scheduled execution of aggregation jobs to keep product metrics refreshed and consistent, including monitoring and troubleshooting production issues. - Delivered features using Agile practices and Azure DevOps (work items, sprint planning, code reviews/PRs, and controlled releases). - Partnered with data scientists to curate analysis- and ML-ready datasets (cleaning, joins, feature tables, and shared definitions). - Conducted exploratory analysis in Python to detect patterns/anomalies and translate findings into practical rules and logic that can be productionized.
- Built and maintained Power BI dashboards using SQL stored procedures, DAX, and Power Query; collaborated with stakeholders to deliver businesscritical insights. - Used Python and DataRobot to develop and deploy ML models, including a Late Payments Predictor (75%+ accuracy) and a climate-based sugar yield analysis using weather API data. - Created internal GenAI tools with Copilot Studio, including an HR assistant that logs interview responses directly into a database.
Experienced high school biology and technology teacher adept at instructing and inspiring groups of 25-30 students. Skilled in laboratory management, curriculum development, and utilizing Moodle as an educational platform. Bilingual in English, facilitating effective communication and language instruction in the classroom. Responsibilities: - Led engaging and interactive biology classes for groups of 25-30 high school students. - Managed the laboratory, ensuring safe and organized experimentation and practical learning experiences. - Created and developed curriculum contents to align with educational standards and meet learning goals. - Utilized Moodle as an online learning platform to enhance student engagement and facilitate blended learning experiences. - Conducted bilingual instruction, providing effective language education alongside biology curriculum. Instructed technology projects focused on Arduino, HTML programming, InkScape, and GIMP, delivering hands-on learning experiences in the classroom.
Responsibilities: - Headed the Science Department, overseeing curriculum development, teacher collaboration, and departmental operations. - Conducted engaging and comprehensive biology classes for groups of 20-25 students. - Developed and implemented curriculum for Biology in Bachillerato and International Baccalaureate (IB) programs. - Provided instruction in English, facilitating effective communication and language development. - Managed the laboratory, ensuring safe and organized experimentation and practical learning experiences. - Actively participated in professional development workshops and conferences to stay updated on the latest teaching methodologies.
- Provided statistical data analysis to uncover patterns, trends, and correlations within large data sets, using tools like Python, and SPSS. - Collaborated with cross-functional teams of scientists and researchers to drive data-driven decision-making and generate meaningful insights. - Contributed to the design and planning of scientific experiments, ensuring proper methodology for precise data collection and analysis. - Stayed updated with the latest advancements in the data analysis field, exploring new methodologies and tools to improve data quality and efficiency. - Conducted comprehensive laboratory work, performing soil and water analysis, gas chromatography, and using various techniques to ensure accurate data collection.