Experience

Developing and optimizing data pipelines that power Atida's unified European health data ecosystem, serving markets across France, Spain, Italy, and Germany. Collaborating on BigQuery modeling, semantic layer maintenance, and AI dataset preparation under a Continuous Delivery model.

Engineered production-grade ETL pipelines and Python services for low-latency evaluation, improving platform reliability and reducing manual review effort by ~40%, with AI/ML integration and Terraform-based infrastructure automation.

Designed a transactional Data Lakehouse and ETL pipelines for telemetry data on a cloud-native AWS architecture. Optimized big data processing with Apache Spark and developed Grafana dashboards for real-time monitoring.

Built a RAG-based knowledge retrieval system, transforming internal documents into a structured, searchable corpus for consulting teams, and designing ETL workflows to clean, normalize, and automate document ingestion, streamlining research and decision-making.

Applied machine learning-driven price sensitivity analysis to optimize pricing strategies for refurbished smartphones, enhancing revenue predictability to mitigate market cannibalization, balancing pricing across product categories to prevent revenue loss.

Worked on a variety of applications, building a REST API to support a new UI. Queried and managed SQL and NoSQL databases to create and optimize backend tables.

Developed scripts to scrape data, integrate third-party apps, and connect them to the data warehouse. Set up Google Business profiles for clients and optimized UI through A/B testing, boosting sales by 35%.