Verónica Hernández Sánchez — Data Engineer
I started in a chemistry lab in 2008, analyzing fertilizer effluents. I was 21. By 2013 I was building biosensors at CSIC to detect aromatic hydrocarbons in the ocean. My PhD was part of KillSpill, a European project to clean marine oil spills using biotechnology. Four years later, I defended my thesis in Microbiology. Cum Laude. Then I made a sharp turn. I taught myself Python, got a Master's in Big Data, and started my second career in data. In six years, I went from junior Data Analyst to Analytics Manager at Volkswagen: → Seidor: Data Analyst. BI solutions with Qlik Sense for pharma, logistics, and food sector clients. → SEAT:CODE: Senior Analyst. Main analyst for a predictive maintenance SaaS. Built a real-time pipeline: Kinesis → Lambda → Aurora → QuickSight. → VW Digital:Hub: Analytics Manager. Led migration of a global purchase platform: 300+ tables, 6,600+ users, 30+ analysts. Delivered a GenAI project (OpenAI/Anthropic): 400x productivity increase, 3.5 months to market. PowerBI, Tableau, AWS, dbt, LLMs. → VW Digital:Hub: Data Engineer (now). Building a Quality KPI platform on OpenShift. PySpark, Docker, Kubernetes. NLP pipelines extracting keywords and sentiment from vehicle quality data. Tech: Python · PySpark · SQL · Docker · Kubernetes · OpenShift · Airflow · dbt · MLflow · Argo Cloud: AWS (Kinesis, Lambda, Aurora, S3, Redshift, CloudWatch) · MinIO BI: QuickSight · Tableau · Power BI · Qlik Sense AI: NLP · GenAI · OpenAI · Anthropic · Sentiment Analysis Science: Microbiology · Molecular Biology · Biosensors · Chemical Engineering Education: PhD Microbiology (CSIC, Cum Laude) · Executive MBA (ESIC, 2026) · MSc Big Data · Chemical Engineering What I create: 📘 Book: "QuickSight" (Amazon) 🎓 Courses: QuickSight + Stoicism (Udemy) 🎙️ Soon: Podcast "Quantum en Español" 🎤 Speaker: Valencia Digital Summit, AIBirras, Data Engineering Summit 👩🏫 Teacher: IEP, AllWomen, Periféricas, TrainingIT, OpenWebinars What's next: Exploring Quantum Computing for biotech and pharma. Writing about it in Spanish — because almost nobody does. I can help you with: → Data pipelines and architecture → BI dashboards that people actually use → Bridging science and data teams → NLP and GenAI for real business problems
Stackforce AI infers this person is a Data Engineering and Biotechnology expert with a focus on SaaS and innovative solutions.
Location: Granada, Spain
Experience: 15 yrs 1 mo
Skills
- Data Engineering
- Data Science
- Data Analysis
- Microbiology
- Chemical Engineering
Career Highlights
- PhD Cum Laude in Microbiology with innovative biosensor development.
- Led global purchase system migration impacting 6,600+ users.
- Author and speaker on data and quantum technologies.
Work Experience
Volkswagen Digital:Hub
Data Engineer (4 mos)
Data Engineering/Analytics Manager (2 yrs 5 mos)
Instituto Europeo de Posgrado - IEP
Master Instructor (4 mos)
AllWomen
Data Analytics Instructor (4 mos)
Garaje de ideas | UX and Development boutique studio
Content Creator (8 mos)
Udemy
Course Instructor (3 yrs 11 mos)
SEAT:CODE
Senior Data Analyst (2 yrs 3 mos)
Seidor
Data Analyst (2 yrs 6 mos)
GIS4tech
Data Scientist Intern (2 mos)
Freelance Translator
Translator from English (1 yr 7 mos)
Consejo Superior de Investigaciones Científicas
Researcher (3 yrs 10 mos)
Researcher (1 yr 3 mos)
Freelance home teacher
Home teacher (5 mos)
Universidad Complutense de Madrid
Researcher (1 yr)
Universidad de Castilla-La Mancha
Researcher (7 mos)
Fertiberia
Grant Student (1 mo)
Education
Executive Master in Business Administration at ESIC Business & Marketing School
Master's Degree in Big Data Analytics at Universidad Europea
Master's Degree at Universidad de Granada
Master's Degree at Universidad Complutense de Madrid
Chemical Engineering at Universidad de Castilla-La Mancha
4th year of Chemical Engineering at Newcastle University