Acerca de Roberto
Analytics Engineer con más de 10 años de experiencia en datos, especializado en construir pipelines de transformación robustos y modelos analíticos en producción.
Trabajo con equipos de producto y negocio para convertir datos en bruto en activos fiables y reutilizables: desde el modelado dimensional hasta la automatización de calidad del dato.
Stack principal:
dbt Core · BigQuery · SQL avanzado · Python · Medallion Architecture · SCD Type 2 · Modelos incrementales · CI/CD (GitHub Actions) · Airflow
Lo que ofrezco:
- Implementación de pipelines dbt en producción con tests, documentación y CI/CD
- Diseño de arquitectura de datos analíticos (Bronze/Silver/Gold)
- Migración y refactorización de SQL legacy
- Auditoría y mejora de proyectos dbt existentes
Portfolio: github.com/robertofernandezmartinez
Español
Bilingüe o nativo
Inglés
Competencia profesional completa
Acepta trabajo presencial
Avilés (hasta 50 km)
Experiencia
- FreelanceAnalytics Engineer & AI Specialistmarzo de 2025 - Hoy (1 año y 5 meses)
- Data Modeling & Analytics Engineering: Architected a modular data platform for a retail company using dbt and BigQuery (Medallion Architecture) to ensure high-integrity features for this specific project and extensive for industrial AI models.
- Production ML Pipelines: Engineered end-to-end pipelines integrating predictive models (XGBoost) and LLM-based reasoning (Claude, GPT-4) using FastAPI and Supabase.
- Operational Intelligence: Developed an AI Corporate Suite that orchestrates dbt-modeled data with LLM reasoning to automate real-time business decisions and proactive alerting.
- Industrialization & Reliability: Implemented technical guardrails and automated data validation layers to move AI solutions from experimental notebooks to production-ready environments.
- NorthiusAnalytics Engineerseptiembre de 2023 - febrero de 2025 (1 año y 5 meses)
- CRM Data Migration: Led complex multi-system migration to Salesforce as source of truth, resolving data inconsistencies across legacy systems (duplicate records, orphaned entities, partial migrations). Delivered successful migration after several months of cross-functional work.
- Dbt Implementation: Transitioned SQL-based reporting to dbt (Bronze/Silver/Gold architecture), writing models, submitting PRs through code review, and improving reproducibility across Marketing and Revenue Ops reporting.
- SQL Optimization: Refactored inefficient legacy SQL queries used in Qlik, introducing CTEs, eliminating redundant queries, and improving pipeline performance.
- Experimentation & Product Analytics: Supported A/B testing initiatives with Product Managers, including a digital onboarding experiment that improved funnel conversion by reducing manual steps — learnings later extended across additional brands.
- Data Architecture: Adapted analytics workflows across AWS infrastructure changes, maintaining Medallion architecture (Bronze/Silver/Gold/Sandbox) and contributing to call transcription analytics project.
- eleconomistaData Analyst & Growth Managerfebrero de 2020 - septiembre de 2023 (3 años y 7 meses)Madrid, España
- Managed audience development strategy, including technical and editorial SEO (audits, architecture, logs, Core Web Vitals, Discover...), content optimization and social media growth.
- Conducted performance analysis using SQL, Python and BI tools to identify growth opportunities and measure the impact of editorial and marketing initiatives.
- Built KPI dashboards and reporting frameworks to track audience trends, user engagement and acquisition channels.
- Collaborated with Product, Editorial and Marketing teams to support data-informed decisions and test new initiatives through experiments and A/B tests.
- Provided insights to leadership based on traffic patterns, user behaviour and content performance.
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Formación
- Advaced Analytics, Machine Learning & AI(Data Science For Business2025Advaced Analytics, Machine Learning & AI
- SQL Mastery, Python, and Tableau(AEPI, KSchoolSQL Mastery, Python, and Tableau