Acerca de Oscar
Analytics Engineer with an engineering background, specializing in analytics-ready data modeling, semantic layer design, and AI-ready data architectures that power LLM-driven analytics. Using Snowflake, dbt, AWS, and Python, I help organizations build trusted data foundations for both traditional BI and next-generation conversational analytics.
I work across data engineering, analytics engineering, visualization, and business analysis, transforming complex data into trusted datasets, business metrics, semantic models, and dashboards that support decision-making and enable users to interact with data through natural language.
I also take on freelance analytics and data projects, delivering end-to-end solutions — from data modeling and metric definition to semantic model development, Tableau dashboards, and AI-powered analytics experiences.
Catalán
Bilingüe o nativo
Español
Bilingüe o nativo
Inglés
Bilingüe o nativo
Francés
Competencia profesional básica
Solo teletrabajo
Lleva a cabo sus proyectos principalmente en remoto
Experiencia
- Zurich UKData EngineerBANCA & SEGUROSoctubre de 2025 - Hoy (10 meses)
- Modernized and enhanced enterprise data models in Snowflake, applying Data Vault 2.0 methodologies to maintain scalable, auditable, and business-ready data structures
- Developed and orchestrated end-to-end ELT pipelines using Matillion, improving reliability and data availability across core business domains
- Updated and optimized Qlik dashboards to support key business reporting and decision-making
- Mammoth Holdings L.L.CAnalytics Engineeragosto de 2022 - noviembre de 2025 (3 años y 3 meses)Dallas, TX, USA• Contributed to the creation of the company's scalable EDW using Snowflake and DBT, integrating data from 3+ different POS providers to analyze and report on Sales, Customer insights and analytics, and other key KPIs.• ELT/ETL - Contributed heavily to the transformation layer of the data warehouse using dimensional modeling and star schema best practices using DBT.• Oversaw the data side of POS migration of most of the company's sites to two main servers and POS systems to standardize and centralize the data and the company's processes.• Built the initial customer analytics capacity of the company to track churn, growth, and customer lifetime value.• Worked with HubSpot to build CRM capabilities for the company by creating the data pipeline to and from the tool.• Automated data ingestion via Fivetran and custom Python APIs to ingest different data sources into the company's EDW.
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Formación
- Industrial EngineeringETSEIB, UPC-Barcelona TechIndustrial Engineering