Miguel Carmona is a data engineering manager and seasoned backend developer with 11 years of experience delivering scalable, cloud-native data platforms for bioinformatics and pharmaceutical intelligence. Currently at AstraZeneca he leads a multidisciplinary team building an in-house NLP pipeline that extracts over a billion relations from 100M+ documents to power the Biological Insights Knowledge Graph. He previously architected elastic, reproducible data products at EMBL-EBI’s Open Targets project, combining Scala, Spark, ClickHouse and Terraform to serve data via FTP, GCS, BigQuery and GraphQL. Miguel blends hands-on systems design with people leadership—mentoring, hiring and driving technical delivery across ML, data and analyst engineers. His background spans scientific software, HPC and biomedical research, giving him a rare fluency in turning research-grade data and models into production-grade, queryable services.
10 years of coding experience
21 years of employment as a software developer
Bachelor's degree Data Science, Bachelor's degree Data Science at The Open University
Ingeniero Técnico en Informática de Sistemas, Ingeniero Técnico en Informática de Sistemas at Universidad de Málaga
QC, spin VMs, load data into DBs, create LUTs and other fun backend stuff we need to do to spin https://genetics.opentargets.org
Contributions:1 review, 175 commits, 23 PRs in 3 years 2 months
dbsvmsazerothcoregeneticsto-do
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