Summary
Priscila Espinoza is a Senior Data Engineer with 12 years of experience building scalable, cost-efficient data platforms and predictive analytics solutions from La Paz, Bolivia. She specializes in Databricks, Python, Scala and PySpark to design batch and streaming pipelines that improve data quality, accessibility and operational resilience—recent work reduced storage costs by 80% and accelerated campaign decision-making by 60%. With advanced training in applied data science and an MSc in Data Science, she combines rigorous academic grounding with practical engineering, including robust error handling, alerting and governance across pipelines. A proven mentor and code reviewer, she champions best practices and automation that cut manual effort by half and saved over 1,000 labor hours annually. Beyond engineering, she has taught pre-university computer science and coordinated academic quality initiatives, reflecting a commitment to knowledge transfer and institutional impact.
12 years of coding experience
6 years of employment as a software developer
MSc in Data Science, ENGINEERING, MSc in Data Science, ENGINEERING at Universidad Católica Boliviana
Applied Data Science (with honors), Applied Data Science (with honors) at WorldQuant University
Licenciada en Informática, Systems Engineering, Licenciada en Informática, Systems Engineering at Universidad Mayor de San Andrés
English, Spanish