[](data:image/svg+xml,%3csvg%20xmlns=%27http://www.w3.org/2000/svg%27%20version=%271.1%27%20width=%27600%27%20height=%27586%27/%3e)
Data Engineer | Argentina
More…
I'm a Data Engineer with a background in data engineering and data strategy, specializing in building scalable data systems and uncovering insights that drive business impact. My work bridges the gap between raw data and executive decision-making — from designing robust ELT pipelines and modeling customer behavior to crafting intuitive dashboards and advanced statistical tools.
Most recently at Peloton Interactive, I improved the accuracy and reliability of critical data pipelines by resolving schema mismatches and optimizing changelog processing for application security data. Before that, at Pager Health, I built real-time dashboards and automated data workflows that empowered clinical and operational teams to act on key business metrics with confidence.
Currently, I'm pursuing an M.S. in Computer Science at the Georgia Institute of Technology, deepening my expertise in distributed systems and applied machine learning. I also hold an M.A. in Applied Economics from the University of Houston.
My career sits at the intersection of data science, engineering, and business strategy. Whether I'm debugging ETL pipelines or helping cross-functional teams interpret key metrics, I bring a pragmatic, detail-oriented approach to solving real-world problems with data.
Outside of work, you’ll find me dancing or contributing to open-source projects — like my custom Python package for probability distributions or my real-time pipeline demos using Flink and Kafka.