Andrea Vázquez Varela
About Andrea Vázquez Varela
Andrea Vázquez Varela is a Data Engineer at Devo, where she has worked since 2022. She has a background in data science and teaching, with experience in various academic and professional roles in Chile.
Work at Devo
Andrea Vázquez Varela has been employed at Devo as a Data Engineer since 2022. In this role, she focuses on data extraction using REST API and pub-sub queues. Her work involves integrating cybersecurity data and utilizing cloud platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure. She employs both structured and unstructured databases, including Redis, for data loading.
Previous Experience in Data Science
Prior to her current position, Andrea worked as a Data Scientist at Pontificia Universidad Católica de Chile from 2018 to 2020. During her time there, she developed new clustering techniques using Python and libraries such as sklearn and pandas. Additionally, she served as a Data Engineer at CENS - Centro Nacional en Sistemas de Información en Salud from 2019 to 2021, where she gained further experience in data engineering.
Teaching Assistant Roles
Andrea has held several teaching assistant positions at Universidad de Concepción. From 2017 to 2019, she assisted in IT Project and Adaptive Systems courses for a total of one year. She also worked as a teaching assistant in Artificial Intelligence for six months in 2018. These roles contributed to her foundational knowledge in computer science and engineering.
Education and Expertise
Andrea studied Computer Engineering at Universidade da Coruña, where she earned a Bachelor of Engineering (BE). She furthered her education at Universidad de Concepción, obtaining a Master of Science (M.Sc.) in Computer Science from 2017 to 2019. Her academic background supports her expertise in cybersecurity data integration and data engineering.
Technical Skills and Methodologies
Andrea specializes in cybersecurity data integration and has experience with various cloud platforms, including GCP, AWS, and Azure. She is proficient in using agile methodologies, particularly Kanban, and is familiar with tools such as Jira, Gitlab, and Github. Her technical skills extend to both structured and unstructured databases, enhancing her capabilities in data management.