Summary
Laura Calcagni is a Data Engineer and Scientist with a PhD in Particle Physics and nine years of experience building robust data platforms, pipelines, and analytics solutions. She has a strong track record in designing scalable ETL architectures with PySpark, Airflow, DBT, and Airbyte, and managing cloud infrastructure on AWS with Terraform to support real-time reporting and data-driven decisions. Her background in physics informs a rigorous, experimental approach to data quality, large-scale simulations, and complex problem solving—skills she applied to both academic research and production web-scraping at scale (including bypassing anti-bot measures on major marketplaces). She has built APIs and productionized ML-enabled services with FastAPI, developed reusable Python packages, and implemented database and analytics tooling that streamline cross-functional workflows. Based in Argentina, Laura blends scientific rigor with pragmatic engineering to turn noisy, heterogeneous data into reliable business insights.
9 years of coding experience
5 years of employment as a software developer
Data Science Specialist - Postgraduate Diploma, Data Science Specialist - Postgraduate Diploma at Facultad de Informática within Universidad Nacional de La Plata
Doctor of Philosophy - PhD Physics - Particle Physics, Doctor of Philosophy - PhD Physics - Particle Physics at Universidad Nacional de La Plata
French, English, Spanish