Verónica Hernández Sánchez

Data Engineer

Granada, Spain15 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key 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.
Stackforce AI infers this person is a Data Engineering and Biotechnology expert with a focus on SaaS and innovative solutions.

Contact

Skills

Core Skills

Data EngineeringData ScienceData AnalysisMicrobiologyChemical Engineering

Other Skills

Extract, Transform, Load (ETL)OracleSQLPythonDockerKubernetesPySparkMinIOArgoMLflowLiquibaseGoal SettingData ArchitectureAmazon Web Services (AWS)Leadership

About

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

Experience

Volkswagen digital:hub

2 roles

Data Engineer

Nov 2025Present · 4 mos

  • Tech Stack: Oracle, SQL, Python, Docker, Kubernetes, PySpark, MinIO, Argo, MLflow, Liquibase
Data EngineeringData ScienceExtract, Transform, Load (ETL)OracleSQLPython+7

Data Engineering/Analytics Manager

Jun 2023Nov 2025 · 2 yrs 5 mos

  • Lead the successful migration of the global purchase system, affecting +6,600 users and 30+ data analysts
  • Create and maintain dashboards using Tableau and PowerBI
  • Defined KPIs and OKRs, establishing clear metrics for team performance
  • Work closely with Data Engineering to maintain and improve data sources
  • Work with higher management and business stakeholders to ensure solutions align with business objectives
  • Enhanced team productivity by promoting a culture of continuous improvement and learning
  • Tech Stack: SQL, AWS, Tableau, PowerBI, Python, Redshift, Airflow, GenAI, dbt
Data AnalysisGoal SettingData EngineeringData ArchitectureAmazon Web Services (AWS)Leadership+12

Instituto europeo de posgrado - iep

Master Instructor

Feb 2025Jun 2025 · 4 mos

  • I teach "Advanced methods of analysis and visualization" and "Data driven decisions" in the Artificial Intelligence and Big Data Master's Degree.
StatisticsPython

Allwomen

Data Analytics Instructor

Jul 2024Nov 2024 · 4 mos · Remote

Data AnalysisExtract, Transform, Load (ETL)CoachingPythonSQL

Garaje de ideas | ux and development boutique studio

Content Creator

Nov 2023Jul 2024 · 8 mos · Spain · Remote

  • I create amazing data related videos for Garaje Data Pills.
  • All my videos in this playlist: https://www.youtube.com/playlist?list=PL9KMMaEYDVc6wM5ysUHkjc74mHPHD_68r
Data EngineeringData ArchitectureVisualizationAmazon Web Services (AWS)Organization SkillsExtract, Transform, Load (ETL)+4

Udemy

Course Instructor

Apr 2022Present · 3 yrs 11 mos

  • Instructor of the following courses in Udemy:
  • Stoicism for stress management:
  • https://www.udemy.com/course/estoicismo-para-gestionar-el-estres/?referralCode=E77E906B7131C85CEE9A
  • From beginner to professional with AWS QuickSight (2023):
  • https://www.udemy.com/course/de-principiante-a-profesional-con-aws-quicksight/?referralCode=3A78246F5F6187AA2EB0
Organization SkillsProject ManagementDocument DraftingCommunication

Seat:code

Senior Data Analyst

Mar 2021Jun 2023 · 2 yrs 3 mos

  • Main Product Analyst for predictive maintenance SaaS product
  • Worked closely with product managers and stakeholders to gather business problems and requirements, ensuring solutions were aligned with business objectives and user expectations
  • Create and maintain dashboards using AWS QuickSight
  • Manipulate and transform large data sets to bring new insights and support strategic decision-making
  • Effectively communicate and present findings to various stakeholders
  • Leveraged industry best practices in data visualization and analytics to drive strategic decision-making
  • Tech Stack: SQL, AWS, Python, AWS QuickSight
Goal SettingData EngineeringQlik SenseData ArchitectureAmazon QuickSightAmazon Web Services (AWS)+11

Seidor

Data Analyst

Sep 2018Mar 2021 · 2 yrs 6 mos · Granada y alrededores, España

  • Managed multiple analytics projects employing Qlik Sense and NPrinting
  • Implemented BI solutions that resolved specific business challenges through detailed data analysis and reporting
  • Worked closely with stakeholders to gather business problems and requirements, ensuring solutions were aligned with business objectives and user expectations
  • ETL development
  • Tech Stack: Qlik Sense, SQL
  • Pharma, logistics, plastics and paper, food sector
Goal SettingData EngineeringQlik SenseData ArchitectureOrganization SkillsResource Allocation+8

Gis4tech

Data Scientist Intern

Jun 2018Aug 2018 · 2 mos

  • In this period I used different big data techniques to analyze town planning in Granada and how gentrification was affecting the city.
  • Data scientist, big data, research, engineering, town planning, web scraping
Goal SettingOrganization SkillsStatisticsProject ManagementData ScienceDocument Drafting+1

Freelance translator

Translator from English

Mar 2016Oct 2017 · 1 yr 7 mos · Granada

  • English-Spanish, Spanish-English translation
  • Translation of texts of all kind: legal, technical, medical... from English to Spanish through different platforms such as Upwork, Freelancer...
Organization SkillsDocument DraftingCommunication

Consejo superior de investigaciones científicas

2 roles

Researcher

Jan 2013Nov 2016 · 3 yrs 10 mos

  • PhD Cum Laude, microbiology, molecular biology, scientific in laboratory, PhD, european project
  • My PhD was part of the European project "Integrated biotechnological solutions to combat marine oil spills" (Kill ● Spill), in which innovative biotechnologies have been developed for use in actions aimed at the cleaning of oil spills in marine environments . In the framework of this project adequate tools have been developed for the first response, the monitoring and the long-term actions. Within this project different tools have been developed to monitor bioremediation of contaminated areas. These tools include chemical methods for detecting degradation products, metagenomic analysis to detect strains and proteomic ones for monitoring degradative activities, as well as the construction of biosensors for the rapid detection of aromatic hydrocarbons. The work of my thesis focused precisely on the construction of different biosensors to detect aromatic hydrocarbons.
Goal SettingMicrobiologyLeadershipOrganization SkillsStatisticsProject Management+1

Researcher

Oct 2011Jan 2013 · 1 yr 3 mos

  • Microbiology, molecular biology, scientific in laboratory, research
  • In this period I studied and genetically modified bacteria to bioremediate sites contaminated with some aromatic components such as polychlorobiphenyl and 2-, 3-, 4-chlorobenzosulfonate produced in the synthesis of the insecticide DDT.
Goal SettingMicrobiologyBioinformaticsOrganization SkillsStatisticsProject Management+1

Freelance home teacher

Home teacher

Jan 2011Jun 2011 · 5 mos · Las Rozas De Madrid Area, Spain

  • Teacher
  • I taught different subjects (mathematics, chemistry, life sciences...) at different levels.
Organization SkillsCoordinating SkillsCommunication

Universidad complutense de madrid

Researcher

Sep 2010Sep 2011 · 1 yr · Madrid Area, Spain

  • Chemical engineering, scientific in laboratory, biofuels
  • In this period I studied and improved ethanol absorption with silicalite and active carbon to improve the efficiency of ethanol/water mixtures.
Goal SettingOrganization SkillsChemical EngineeringStatisticsProject ManagementCommunication

Universidad de castilla-la mancha

Researcher

Nov 2009Jun 2010 · 7 mos

  • Chemical engineering, scientific in laboratory
  • During these months I carried out the following processes in the Department of Chemical Engineering of
  • the UCLM: Studies of the processes of particle formation and microencapsulation of extraction agents. Selection of such extraction agents and microencapsulation of these with polystyrene capsules. Sulfonation of the polystyrene shell containing the extraction agent. Study of the ability of these capsules as selective extraction agents.
Organization SkillsChemical EngineeringStatisticsDocument DraftingCommunication

Fertiberia

Grant Student

Jul 2008Aug 2008 · 1 mo · Puertollano

  • Chemical engineering, fertilizers analysis laboratory
  • In this period I studied the main characteristics of the facilities from Fertiberia in Puertollano (Ciudad Real) and I analyzed the effluents of the different chemical plants and the products that were obtained from them.
Organization SkillsChemical EngineeringCommunication

Education

ESIC Business & Marketing School

Executive Master in Business Administration

Oct 2024Mar 2026

Universidad Europea

Master's Degree in Big Data Analytics

Jan 2017Jan 2018

Universidad de Granada

Master's Degree — Biotechnology

Jan 2011Jan 2012

Universidad Complutense de Madrid

Master's Degree — Engineering of the Industrial Processes

Jan 2010Jan 2011

Universidad de Castilla-La Mancha

Chemical Engineering

Jan 2005Jan 2010

Newcastle University

4th year of Chemical Engineering — Ingeniería química

Jan 2008Jan 2009

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