Data & AI engineer with technical-lead and team-management experience, specialising in Data Engineering, Cloud & Platform Engineering, and FinOps. I design and operate scalable, secure, cost-efficient data platforms across cloud and hybrid stacks. I currently work as a Core Data Engineer at Nestlé, building large-scale marketing data platforms and agentic AI systems.
I engineer core data foundations for enterprise marketing activation at scale, within a large marketing data organisation. My work centres on Customer Data Platform (CDP) pipelines that unify customer data for downstream models. I also design agentic AI systems, with modular architectures and automated evaluation of their outputs.
As a manager and technical leader, I oversaw a team of Data and Cloud Engineers, managing the architecture and development of our cloud data platform, ensuring its scalability, security, and cost efficiency. Implementing best practices in Data Engineering, Cloud Infrastructure, DevOps, and FinOps, and aligning technical projects with business objectives were key aspects of my role. The goal was to develop and maintain SaaS solutions as well as internal projects.
Responsible for building and optimizing a cloud data platform, focusing on developing data pipelines, storage solutions, and integration with cloud services. The role involved ensuring data integrity and accessibility, as well as implementing best practices in cloud data management.
As a consultant specializing in Data Engineering, Big Data, data streaming, and ETL solutions, I designed and implemented data integration solutions, and optimized data pipelines to feed Data Warehouse platforms and operational databases.
As a consultant in Business Intelligence and Big Data, specializing in data integration, data storage, business intelligence tools, and Big Data solutions, I designed and implemented ETL processes, developed data models, and optimized reporting solutions to provide actionable insights for decision-making. The role involved collaborating with stakeholders to understand their business needs and translate them into technical solutions.
IAESTE Intern - Android development of the "Future City" based on OpenStreetMap
AI Engineering, Agentic AI & LLM Systems, Generative AI, Customer Data Platforms (CDP), Data Engineering, Data Platform Architecture, LLMOps & AI Evaluation, Marketing Mix Modeling (MMM), Big Data & Distributed Systems, Cloud Infrastructure, FinOps, DevOps & CI/CD, Data Warehousing
Amazon Web Services, Microsoft Azure, Snowflake, Databricks, dbt, Apache Airflow, Apache Spark, Twilio Segment, LangChain, Python, SQL, Terraform, Docker, Kubernetes, Datadog, Git
September 2013 — September 2015
Architecture of network systems
September 2012 — March 2013
Embedded systems & telecommunications
September 2008 — September 2014
Control Systems and Computer Science in Engineering