Experience

Building data pipelines and models to help stakeholders work with reliable data, using multi-agent workflows to simplify pipeline development, quality checks, and testing, and improve the team’s shared data platform and tools.

Developed and optimized data pipelines that supported Atida’s e-commerce data platform across Europe. Collaborated on BigQuery data modeling, semantic layer maintenance, and AI/ML dataset preparation within a Continuous Delivery environment.

Engineered ETL pipelines and Python services for low-latency evaluation, improving platform reliability and reducing manual review effort by ~40% through AI/ML integration and 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%.