Greater Barcelona Metropolitan Area
Senior Data Engineer with 5+ years of experience designing, building, and optimizing scalable data platforms on GCP. Proven track record delivering high-impact ELT pipelines, implementing data quality frameworks, and driving automation initiatives that enable data-driven decision-making across multiple business units.
• Drives data initiatives on GCP, harnessing different cloud services to manage and optimize data workflows, ensuring secure and scalable solutions across several business units in Grupo Planeta. • Utilizes Python and BigQuery (SQL) to proactively analyze and forecast client behavior, enabling tailored strategies and enhanced customer engagement. • Developing Machine Learning projects for different business, using customer segmentation, LTV, propensity, marketing mix modeling and product recommendation. • Orchestrates intricate data pipelines with Apache Airflow and crafts compelling visual stories using Looker Studio and Power BI. • Proactively drive decision-making by efficiently organizing tasks, collaborating with diverse stakeholders, and effectively communicating analytical findings to address business needs.
• Actively involved in the entire lifecycle of several European Union and B2B machine learning projects. From project definition to model implementation and monitoring, collaborating between early adopters, end-users, clients, and partners. • Developed a python script with an interface capable of searching the most optimal preprocessing for a machine learning algorithm among more than 200 options, becoming an essential tool in the team collectively saving 20 + hours per week. • Created a database in PostgreSQL using python, to automate the monitoring of the company's devices in real-time. In addition to different applications to analyze the generated data. • Generated reports for the delivery and closing of private and public projects.
• Developed multiple scripts in python to analyze data coming from molecular simulations on a high-performance computing Linux cluster. • Worked with LINUX/UNIX environments, remote access tools, and parallel programming tools such as MPI and OpenMP.