Micaela M.
About Micaela M.
Micaela M. is a Lead Data Platform Engineer at Vetted, where she has worked since 2022, focusing on transitioning backend systems to microservices. With a background in systems engineering and extensive experience in data platform design, she has contributed to various organizations by enhancing data processing and accessibility.
Work at Vetted
Micaela M. serves as the Lead Data Platform Engineer at Vetted, a position she has held since 2022. In this role, she transitioned the company's backend from a PHP monolith to a microservices architecture, utilizing Scala and Python. This transition has led to significant improvements in API maintenance and development speed, enhancing the overall efficiency of the data platform.
Previous Experience
Prior to her current role, Micaela worked at First Foundry as a Senior Scala Engineer from 2021 to 2022. She also held positions at MomentFeed and ank as a Senior Scala Engineer and Senior Staff Engineer, respectively. Her career includes experience as a Senior Backend and Data Engineer at Despegar.com and as a Personal Computer Technician while self-employed. Additionally, she served as a Teaching Assistant and Professor at UTN Buenos Aires, focusing on programming paradigms and advanced programming techniques.
Education and Expertise
Micaela studied Systems Engineering at Universidad Tecnológica Nacional, earning her degree between 2013 and 2019. She also completed a program in Aeronautical Electronics Technician at E.E.S.T Nº7 - Taller Regional Quilmes from 2006 to 2012. Her expertise includes designing and implementing scalable data platforms using technologies such as Kubernetes, Kafka, Spark, and BigQuery. She has specialized in enhancing data ingestion and machine learning model training.
Technical Contributions
Micaela has implemented significant technical contributions throughout her career. She has shifted data processing methods from batch to streaming solutions, utilizing Kafka Streams and fs2 to improve data availability and governance. Her work focuses on reducing infrastructure costs while enhancing data accessibility for analytics and new use cases within organizations.