Summary
Jonavelle Cuerdo is a data engineer with nine years of hands-on experience building data pipelines, reporting systems, and data products—most recently contributing to data engineering efforts at MIT. She combines strong R, Python, and SQL skills with practical cloud experience (AWS serverless, S3, CloudWatch) to productionize ML features, automate data processing, and maintain reproducible analysis tools. Her background in clinical trial analysis and neurodegenerative disease modeling informs a rigorous approach to data quality and regulatory-style deliverables. At Origent she developed internal R packages and cross-language tooling to bridge R and Python on AWS, and at illumis she led observable, orchestrated pipelines for compliance data. Jonavelle’s work balances research-grade reproducibility with operational reliability, and she enjoys streamlining workflows so stakeholders can make well-informed decisions.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (BA), Data Science, Bachelor of Arts (BA), Data Science at University of Rochester