Miguel Carmona

Data Engineering Manager

Cambridge, England, United Kingdom
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Summary

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Senior
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Top School
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.
code10 years of coding experience
job21 years of employment as a software developer
bookBachelor's degree Data Science, Bachelor's degree Data Science at The Open University
bookIngeniero Técnico en Informática de Sistemas, Ingeniero Técnico en Informática de Sistemas at Universidad de Málaga
languagesEnglish
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Stackoverflow

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Github Skills (171)

lda10
flask-restful10
embedded10
cpp10
cloud-native10
sangria10
api10
sql10
ai10
nlp10
rust10
database10
opentype10
stanford-nlp10
fonts10

Programming languages (13)

JavaC++CScalaHTMLPerlJupyter NotebookTypeScript

Github contributions (5)

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LIterature coNcept Knowledgebase for OpenTarget
Contributions:1 release, 2 reviews, 72 commits in 9 months
literatureknowledgebase
opentargets/genetics-backend

Sep 2018 - Nov 2021

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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Miguel Carmona - Data Engineering Manager