Teresita Guerrero is a Lead Data Engineering professional with 10 years of experience building end-to-end data architectures, automated ETL pipelines, and product-focused analytics across fintech and cloud environments. She has led data engineering teams at Yape and driven platform work at companies like Clip, mmhmm, and Intel, blending software engineering rigor with large-scale Spark, Python, Golang and Elasticsearch solutions. Teresita excels at turning messy and unstructured data into usable, documented datasets and interactive dashboards, having shipped projects from a million-record Prospector dashboard to cloud-integrated analytics for OpenStack. A product-minded engineer and co-director of DataLab Community, she frequently prototypes data-driven features and enjoys roles that bridge data science, engineering and product. Fluent in integrating relational and NoSQL systems, she brings both hands-on implementation and strategic architecture experience rooted in a formal master’s in data science.
10 years of coding experience
13 years of employment as a software developer
Engineering Computational Systems Networks and Distributed Databases, Engineering Computational Systems Networks and Distributed Databases at Instituto Tecnológico Superior de Lagos de Moreno
Diploma English as a second language ESL, Diploma English as a second language ESL at University of Belize
Data Processing and Machine learning Engineering, Data Processing and Machine learning Engineering at Data Science Retreat
Master in Data Science and Massive Data Processing, Master in Data Science and Massive Data Processing at Universidad Cuauhtemoc
Exercises and useful material for Data Science enthusiasts
Contributions:15 commits, 2 PRs, 12 pushes in 1 month
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