![[Photo Xavier Paredes.png|350x350]] ## Profile **Xavier Paredes** is a seasoned **Data Engineer & BI Developer** with over 7 years’ experience in designing and delivering data-driven solutions for media, gaming, retail, and consulting clients. Adept at building end-to-end analytics pipelines, driving business performance insights, and mentoring cross-functional teams. Based in Barcelona, Xavier combines deep domain expertise with hands-on technical skills to translate complex data into actionable intelligence. ## Career Highlights ### Medior Data Engineer **MAXQ Analytics (May 2025 – Present, Barcelona)** - Design and expand data models to enable absorption into centralised semantic models. - Coordinating with clients and stakeholders on delivering sprints and projects. - Applying and upgrading data architecture and ELT-workflows in line with frameworks. ### Analytics Engineer **Looker Consulting (Sept 2021 – Present, Barcelona)** - Lead data consulting engagements for clients including LaSalle, Crunchyroll, Nike, Flow, and Prisa, architecting Looker-based dashboards and self-service BI platforms - Designed and implemented ETL workflows to consolidate multi-source data into centralized analytics schemas. - Conducted training sessions and “data literacy” workshops, upskilling 20+ business users on Looker best practices. ### Business Performance Manager **King (Mar 2019 – Sept 2021, Barcelona)** - Defined KPIs and built automated reporting frameworks to monitor game performance, monetization, and user engagement. - Partnered with product and finance teams to run A/B tests, informing key pricing and feature decisions. ### Senior Data Scientist **King (May 2016 – Mar 2019, Barcelona)** - Developed predictive models for churn and player lifetime value, improving retention strategies. - Built Python-based data pipelines ingesting >10M records/day into analytical databases. - Championed migration of on-premises data workflows to cloud environments. ### PhD Fellow **Universitat de Barcelona (Oct 2012 – May 2016, Barcelona)** - Conducted astrophysics research, publishing in peer-reviewed journals and presenting at international conferences. - Taught differential equations and vector calculus to undergraduate cohorts. ## Education - **PhD, Physics** – Universitat de Barcelona (2012 – 2016) - **MSc, Astrophysics** – Universitat de Barcelona (2012 – 2013) - **Postgrad, Data Science & Big Data** – Universitat de Barcelona (2015 – 2016) - **BSc, Physics** – Universitat de Barcelona (2012) ## Certifications - Introduction to Big Data with Apache Spark (BerkeleyX, Jul 2015) - Tackling the Challenges of Big Data (Coursera, Jun 2015) - A/B Testing (Google, Mar 2016) - Learn SQL (DataCamp, Jan 2016) - Python Programming Language (Udemy, May 2014) ## Core Skills & Technologies - **Languages:** Python, SQL (PostgreSQL) - **BI & Visualization:** Looker, Tableau - **Data Engineering:** ETL frameworks, data modeling - **Cloud & Infrastructure:** AWS fundamentals, containerized workflows - **Other:** A/B Testing, Big Data (Spark) ## Connect - **LinkedIn**: [Xavier Paredes](https://www.linkedin.com/in/xparedesfortuny)