Mayra Azevedo is a data engineer with nine years of cross-disciplinary experience building ETL pipelines and analytics solutions using Python, PySpark, SQL, Hadoop, Hive and GCP. At IBM she optimizes advertising and telecom data workflows on Dataproc and Cloud Functions, turning complex ingestion challenges into reliable, revenue-driving pipelines. Her background in web development (Laravel/PHP, Django) and healthcare research gives her a rare blend of production engineering and domain-focused data science, especially in clinical logistics and public health systems. She studies computational intelligence, algorithmic bias and statistics, bringing a research-minded approach to model fairness and data quality. Curious by nature and a “convict learner,” she pairs a love of elegant code with practical delivery across cloud and open-source tools.
9 years of coding experience
1 year of employment as a software developer
B.S., Computer Science, B.S., Computer Science at Federal University of Rio Grande do Norte
Informatics, Informatics at Federal Institute of Education, Science and Technology of Rio Grande do Norte
Contributions:17 PRs, 40 pushes, 8 branches in 3 years 2 months
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