Gernot Supp
Cloud Computing & Data Engineering
Experience
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Industries Experience
See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.
Experienced in Healthcare (17 years), Pharmaceutical (6 years), Food and Beverage (5 years), Information Technology (5 years), Tourism (5 years), and Education (4 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Research and Development (18 years), Business Intelligence (13 years), Product Development (10 years), Information Technology (3 years), and Marketing (3 years).
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
Education
Karl-Franzens University / University of Technology
PhD in Biology, Institute of Zoology, Department of Neurobiology and Animal Behavior · Biology · Graz, Austria
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
Profile
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