Summary
Victor Dominguez is a Data Engineer and Data Architect based in the Greater Madrid area with eight years of professional experience building cloud-native data platforms and ETL services. He has designed and implemented production pipelines on AWS (Glue, Athena, Lambda), Cloudera, Kafka and Airflow to enable ML-driven analytics for sectors ranging from automotive after-sales to healthcare research in EU H2020 projects. Victor blends backend engineering (Python, FastAPI, JavaScript) with orchestration and containerized deployments (Docker, Kubernetes, OpenShift, GitLab CI/CD) to deliver scalable, auditable data solutions that meet strict privacy and interoperability requirements. He has a track record of turning complex domain requirements into optimized datasets for Data Science teams, including OMOP migrations and FHIR integrations for clinical data. With an MBA from Universidad Polit茅cnica de Madrid and a background in education and technical training, he brings cross-functional communication and documentation strengths that accelerate adoption. Notably, his work spans both research-driven consortium projects and pragmatic automation efforts (Power Automate integrations), showing an ability to operate from prototype to enterprise-grade production.
8 years of coding experience
2 years of employment as a software developer
Profesor de educacion secundaria en informatica, Educaci贸n secundaria, Profesor de educacion secundaria en informatica, Educaci贸n secundaria at Instituto Nicolas Avellaneda
Licenciatura en Informatica, Ciencias de la computaci贸n, Licenciatura en Informatica, Ciencias de la computaci贸n at Universidad Nacional de Tucum谩n
Master of Business Administration - MBA, Liderazgo empresarial, Master of Business Administration - MBA, Liderazgo empresarial at Universidad Polit茅cnica de Madrid
English, Spanish