Gernot Supp

Cloud Computing & Data Engineering

Gernot Supp
Arona, Spain

Experience

Jan 2025 - Present
1 year 1 month

Cloud Computing & Data Engineering

European Headquarter Of Retail-Network In 12+ Countries

  • Developing robust, cloud-based data pipelines within Azure Data Engineering Stack using Databricks (Apache Spark/PySpark, Python, SQL), integrating diverse data sources via REST and message-based output ports and ensuring data quality with defined performance SLAs
  • Designing and implementing data strategies for comprehensive data life-cycle management, including provisioning, cleansing and anonymization, aligning with principles of clean architecture
  • Building high-performance data aggregation for KPI dashboards based on multiple data sources and systems, contributing to data meshing principles and designing scalable data flow architectures with Git-based version control
Jan 2024 - Dec 2024
1 year

Cloud Computing & Data Engineering

KiK Textilien Und Non-Food GmbH

  • Cloud-based data processing and engineering: building Azure-Cloud infrastructures and developing batch-based data pipelines using Databricks (PySpark, Python, SQL)
  • Integrating diverse data sources (APIs, files) and ensuring data quality through quality gates
  • Designing and implementing processes for data provisioning, cleansing and anonymization for Europe-wide CRM data assets
  • Establishing Unity Catalog in Azure Databricks for managing and organizing data assets and designing the overall data flow architecture
Jan 2023 - Dec 2023
1 year

Data Engineering & Python Development

KiK Textilien & Non-Food GmbH

  • Designing and implementing database requests via API interfaces
  • Performing systematic data evaluation and data cleaning in productive CRM environments
  • Crafting actionable data optimization strategies for enhancing data pipelines and overall data quality
Jan 2022 - Dec 2023
2 years

Data Science & Scientific Research Advisor

HealthHero Germany GmbH

  • Supporting data-driven and evidence-based decision making across the organization
  • Performing systematic data quality control and scientific data verification to ensure robustness of analyses and conclusions
Jan 2021 - Dec 2022
2 years

Lead Data & Insight Generation

Unilever Deutschland GmbH

  • Examining existing scientific research of potential partner institutions to support strategic decisions
  • Defining research data formats and data storage types for effective data management
  • Conducting multi-level exploration of customer engagement platforms
  • Evaluating ad campaigns and their performance towards KPI goals
  • Designing and implementing iterative cycles of user experiments in separate cohorts, including digital experimental setup (hypothesis), data collection, analysis and statistical evaluation
  • Conducting qualitative and quantitative user research
  • Defining a mobile (iOS/Android) and web analytics tracking concept, including data-layer definition, for an ecommerce web shop and reviewing technical implementation (Adobe Analytics)
  • Managing data ingestion, availability and accessibility, including batch-based data pipelines
Jan 2020 - Dec 2025
6 years

Lead Advisor Data Science & Medical Affairs

Dr. Willmar Schwabe GmbH & Co. KG, Sonormed GmbH

  • Developing and introducing a structured evaluation concept for a digital medical therapeutic intervention to collect empirical evidence of patients' benefits, leading to initial approval via the German healthcare regulators' "DIGA fast-track" process by the Federal Institute for Drugs and Medical Devices (BfArM)
  • Conducting Python development using libraries such as Pandas, NumPy, Seaborn and Matplotlib for systematic data investigation, statistical analysis, visualization and reporting of outcomes to all stakeholders, including regulators
  • Defining data flow and data pipelines to support evidence generation and regulatory reporting
Jan 2020 - Dec 2021
2 years

Lead User Research & Insight Generation

Colgate-Palmolive Europe

  • Leading ideation, definition and implementation of quantitative and qualitative research on user behavior towards innovative marketing concepts
  • Building data pipelines integrating multiple data sources such as social media, ad campaigns and ecommerce systems
  • Developing and coding KPI dashboards for experiment monitoring
  • Performing data analysis, statistical evaluation and data visualization
  • Evaluating performance of ad campaigns towards KPI goals
  • Implementing analytics solutions using Google Analytics and Google Tag Manager
Jan 2018 - Dec 2021
4 years

Lead Data Science & Insights Generation

Unilever Deutschland GmbH

  • Investigating and expanding a recipe platform for Unilever brands with ecommerce capability across web and native apps for iOS and Android
  • Designing and implementing iterative, multi-stage user experiments to innovate product features and service components following lean product development principles
Jan 2015 - Dec 2018
4 years
Hamburg, Germany

Chief Science Officer

Sonormed GmbH

  • Guiding scientific affairs for four digital health applications in the hearing domain, including stakeholder management with medical boards of health insurance, clinics and associations of medical specialists
  • Developing the medical concept for two digital health applications and supporting their technical development, including data collection and feedback loops to steer product development (patient-driven product development and optimization)
  • Conducting iterative cycles of qualitative and quantitative user research, including behavioral analysis, in-depth interviews and topic analysis of verbal responses
  • Defining analytics tracking concepts with consistent events and conversion targets for web, iOS and Android apps using tools such as Google Analytics and Countly
  • Conceptualizing intended use, designing data research and compiling information for Clinical Evaluation Report (CER) documents to achieve medical device CE mark
Jan 2012 - Dec 2016
5 years
Amsterdam, Netherlands

Chief Scientist, Data Manager & Co-Founder

TripRebel GmbH

  • Co-founding and developing a tech-centered travel startup that won the "EU Tech All Stars" award of the European Commission (2015)
  • Leading lean product development and defining the data analytics strategy and execution
  • Designing and operating user experiment pipelines to drive product improvements and business growth
Jan 2011 - Dec 2012
2 years
Hamburg, Germany

MEG Group Leader

Institute of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf

  • Leading a research group focused on magnetoencephalography (MEG) within the Institute of Neurophysiology and Pathophysiology
  • Coordinating research on neurophysiological mechanisms of human brain function and behavior
Jan 2006 - Dec 2012
7 years
Hamburg, Germany

Postdoctoral Associate

Institute of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf

  • Conducting multivariate data (time-frequency) analysis and statistical testing of neurophysiological signals
  • Investigating neurophysiological characteristics of brain states using MEG/EEG
  • Studying neural correlates of clinically induced loss of consciousness (anesthesia)
  • Researching global brain states and their impact on information processing in sensory systems
  • Applying measures of macroscopic brain signals, including Granger causality, coherence and phase synchrony
Jan 2005 - Dec 2006
2 years
Leipzig, Germany

Postdoctoral Associate

Max-Planck-Institute for Human Cognitive and Brain Sciences

  • Investigating global brain states and their impact on information processing in sensory systems
  • Applying advanced measures of macroscopic brain signals such as Granger causality, coherence and phase synchrony to study human cognition and brain dynamics
Hamburg, Germany

Data Mining Bootcamp Instructor – Scientific Programming

University Medical Center Hamburg-Eppendorf (UKE)

  • Teaching a data mining bootcamp on scientific programming for the SFB Graduate School
  • Covering practical methods for data analysis, programming and reproducible research in a biomedical context
Hamburg, Germany

Webinar Instructor – Introduction to Scientific Programming in R

University of Hamburg, Department of Informatics

  • Delivering a webinar series on introduction to scientific programming in R
  • Teaching core R programming concepts, data handling and basic analysis techniques for students and researchers

Summary

Making data available/accessible and generating insights in a systematic, reproducible way lies at the heart of science. This is the kind of clarity I strive to provide for the entire data pipeline, from supply to data transformation, consumption and analysis. I am passionate about supporting teams in resolving their data needs and reaching compelling data-driven decisions. With my background in science & research (PhD: neurobiology; human brain & behavior) as well as extensive experience in various industries (FMCG, Ecommerce, Pharma/Medical etc.), I bring comprehensive data power, analytical insights and engineering expertise with strong coding skills to companies of all sizes.

Skills

  • Data Skills: Data Engineering, Data Science, Digital Research, Eda & Statistics
  • Programming Languages: Python, Sql, R & Matlab
  • Tech Stack: Apache Spark, Azure, Databricks, Airbyte, Aws, Apache Kafka, Clickhouse, Dbt, Docker, Confluent, Jinja, Jupyter, Preset, Snowflake, Git

Languages

German
Native
English
Advanced
Spanish
Intermediate

Education

Oct 2001 - Jun 2004

Karl-Franzens University / University of Technology

PhD in Biology, Institute of Zoology, Department of Neurobiology and Animal Behavior · Biology · Graz, Austria

Oct 1995 - Jun 2001

Karl-Franzens University

M.S. in Biology · Biology · Graz, Austria

Certifications & licenses

Data Engineering Bootcamp

Data Engineer Camp

Google Analytics 4 (GA4) Essential & Advanced Training

LinkedIn Learning

Google Analytics Certification

Google

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