Summary
Claésia Costa is a data engineer with 8 years of technical experience and over 2 years focused on building scalable data pipelines, ETL processes and cloud-native solutions, now applying that expertise at Barclays after roles at IDC and Deloitte. She combines strong Python and SQL skills with hands-on experience in AWS, Snowflake and Airflow, and a proven track record integrating third‑party sources and automating data workflows for financial and enterprise contexts. With 1.5 years as an NLP consultant and ongoing master's studies in Computer Science and NLP at Charles University and Universite de Lorraine, she bridges applied machine learning, GenAI and production data engineering. Early research work on urban mobility and sentiment analysis underpins her practical approach to turning messy linguistic and geospatial data into actionable insights.
8 years of coding experience
5 years of employment as a software developer
Nanodegree, Predictive Analytics for Business, Nanodegree, Predictive Analytics for Business at Udacity
Technician, Electrotechnics, Technician, Electrotechnics at E.E.E.P. Dr. José Iran Costa
Master's degree, Natural Language Processing, Master's degree, Natural Language Processing at Universite de Lorraine
Bachelor's degree, Information Systems, 9.06, Bachelor's degree, Information Systems, 9.06 at Instituto Federal de Educação, Ciência e Tecnologia do Ceará
Master's degree, Computer Science, Master's degree, Computer Science at Charles University
Portuguese, English, French, Spanish