Data Modeling Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Data Modeling
Gwang Jin Kim
Last position:
Data Scientist / Applied AI, Automation & Data Systems Researcher at Independent
- Built and explored applied GenAI, RAG, GraphRAG, local LLM, agentic AI and document-intelligence prototypes for structured analysis, evidence extraction, semantic search, technical reasoning and decision-useful reporting
- Developed private local-LLM workflows and AI system patterns focused on privacy, reproducibility, reviewability, low-cost inference and practical user control
- Built reproducible Python/R workflows for data analysis, automation, API-driven tooling, validation logic, technical documentation and AI-assisted software development
- Designed workflows around explicit assumptions, traceable inputs, reviewable outputs and failure-mode awareness rather than black-box “looks good” demonstrations
- Supported RAHN AG in a chemical/regulatory environment with data extraction and processing around WERCS, a regulatory application for chemical product and compliance data
- Explored complex application/database schemas and wrote nested SQL queries to extract information for mixture calculations, component relationships, regulatory rules and reporting logic
- Continued hands-on development in Git/GitHub/GitLab/Bitbucket, Docker/Linux deployment patterns, REST/API workflows, error handling, technical writing and fast AI-assisted prototyping
- Built technical writing and documentation workflows that turn complex systems into clear runbooks, checklists, decision notes and user-facing explanations
Nikita Verkhoshintcev
Last position:
Salesforce Technical Architect at Fennia
- Designed and engineered a shared web component library for a customer portal serving 360,000+ private users and integrated the LWC framework with Storybook via Rollup.
- Resolved WCAG AA compliance issues to support strict accessibility requirements.
- Integrated legacy systems into a new portal via REST API to support existing products.
Alexander Scholl
Last position:
Senior ABAP-OO Developer at Die Schweizerische Post AG
"ZLF – Future Billing Solution"
Cross-module S/4HANA
- Technical consulting and development in the area of S/4 Master Data Governance (MDG-BP)
- Various developments in HR-BP integration, order-to-cash, SAP CAR analytics data modeling, interfaces from and to third-party systems. (native HANA, CDS, RAP, Fiori Elements, OData)
Hanspeter Jost
Last position:
Lead Salesforce Consultant DACH at DXC Technology
- Recording, validating, and coordinating customer requirements
- Analyzing customers' business processes, and designing and implementing solutions in Salesforce
- Designing and developing Salesforce architectures using Sales and Service Cloud
- Maintaining and expanding my skills to stay current with Salesforce's new features
- Taking an active role in the pre-sales phase and working closely with sales and pre-sales teams
- Building and strengthening the team's expertise in new areas
- Actively helping to define and align my role within DXC's best practices
- MC Growth implementation
- AI Agentforce Agents Builder
- Agent Designer with elements.cloud
- Salesforce org assessments
- Process configuration mining
- Serving as a single point of contact for global SFDC contacts
- Coordinating projects with the EMEA and global headquarters
- Preparing proposals and presales work with Salesforce Account Executives and client partners for global accounts
Reinhold Schätz
Last position:
Senior Software Developer at Hitachi Energy
- Support and further development of the Leegoo Builder
- Handling ad hoc requests
- Definition of rules/attributes and their rules
- Optimizing and managing SQL queries
Dariusz Kaczmarkiewicz
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
Reto Bachmann
Last position:
Managing Director at Atsoft GmbH
- Consulting in ICT, business processes, system architecture, web integration, client-server computing, cross-platform development, responsive web design, social media integration, GUI
- Custom and specialized solutions
- Applications for small and medium-sized enterprises
- Web services, web applications, portals, application extensions (add-ins, plug-ins)
- Database design, interface solutions
- Outsourcing in various industries
- Solutions for other software houses
- Project management and project support (software engineering, coding)
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Marco Casagli
Last position:
Global Process Owner Business Intelligence at Interroll SA
- Cover the role of Global Process Owner of the Business Intelligence area and contribute to designing the Data Strategy
- Responsible for the global BI platform based on SAP BW4/HANA, SAP Analytics Cloud, Datasphere, Analysis for Office and Power BI
- Collaborate with the FICO team due to acquired skills in this area
- Work closely with the business worldwide to build dashboards, data models and reports to provide useful insights
- Coordinate international analytics teams as project manager and report project progress to the Board
- Participated in the two-year S/4 implementation project with SAP Switzerland, coordinating the SAP implementation team in Portugal and ensuring go-live with all dashboards and reports working and data matched S/4
- Managed BI projects in Sales, Finance, Global KPIs, Manufacturing and Purchasing as project manager; developed and coded when necessary
- Led the migration of reports from BusinessObjects and Lumira to Analysis for Office and BW4/HANA
- Developed Spend Analytics data models and dashboards to analyze purchasing across 30+ entities, achieving 8% savings on purchasing volume and increased group profitability
- Defined data strategy for the group
- Created the global Business Intelligence site on Viva Engage, published stories and built the BI website containing links to training, BI directive list of reports and dashboards
- Created success stories as business use cases, published on Viva Engage
- Led the Business Intelligence function globally, coordinating BI development teams in Switzerland and abroad
- Personally developed data models, reports and dashboards
- Involved in privacy and security topics to guarantee correct compliance of data management
- Coded using different programming languages
- Managed more than 15 BI projects over 5 years using agile methodology, delivered on time, on budget and on quality
- Wrote the BI directive on correct usage of BI tools in the company
Bartosz Porzezinski
Last position:
Senior Project Manager, Product Owner at SoftwareONE
- Led a global enterprise-platform upgrade across 60+ countries, coordinating multiple localizations, integrations, and stakeholder groups from multiple locations, including Europe, US and India.
- Product Owner for a delivery team focused on platform usability, performance, and reliability—owning backlog, roadmap, and KPI outcomes.
- Implemented governance and audit-ready processes that made change safer and more predictable, and improved platform compliance with regulatory requirements.
Andreas Illig
Last position:
Business Development at SoftQuadrat GmbH
- Analyzed the current situation and repositioned the brand
- Built up recruiting, sales, and customer support
- Planned participation in trade shows
- Established a sales process
- Introduced a CRM tool (Pipedrive)
- Set up a subsidiary in Switzerland
- Implemented all aspects of staff leasing
Kalin Stefanov
Last position:
Sr Data Engineer / Architect at Samsung Logistics
- Architected and implemented a structured three-layer enterprise data warehouse model in Azure, establishing a robust and scalable data environment.
- Migrated legacy stored procedures to streamlined Azure Data Factory (ADF) pipelines, enhancing data processing efficiency.
- Introduced comprehensive Git-based source control, ensuring rigorous version management and collaborative development practices.
- Established automated data quality frameworks with proactive monitoring and alerting, significantly improving data integrity and reliability.
- Spearheaded the design of an enterprise data model, enabling a self-service BI environment that empowered business teams with advanced analytics capabilities.
- Developed and delivered insightful dashboards and reports in Power BI, transforming raw data into actionable business insights.
- Technologies: Azure Data Factory (ADF), Azure, MS-SQL, DataVault 2.0, Git, Power BI, data quality automation, Agile/Scrum, data modeling, self-service BI, stakeholder management.
Ala Lutz
Last position:
VR/AR/ML Project Site Lead (contract by Experis) at Meta
- Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
- Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
- Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
- Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective
Michael Reiff
Last position:
Doctor of Economics at University of St. Gall
- Awarded the degree of Doctor of Economics (Dr. oec.)
- Passed doctoral examination with the grade "good"
- Dissertation: Development of OR-based software systems – concepts for problem- and user-oriented design
Doris Nyffenegger
Last position:
Expert Consultant at multiprovider gmbh/ASC GmbH/all for one Group
DWH development (backend) for SRG (2022)
Media: redesign of the HR data model to prepare migration to BW/4HANA
Support and training for HR and controlling reporting solutions
Technologies: SAP BW/4HANA, SAP BW on HANA 7.5, SAP HCM, SAP CO, SAP FI, IBCS, SAP Lumira Design Studio, Graphomate, SAP Fiori Launchpad
DWH development (frontend) for Constellium (2017)
Redesigned reporting according to IFRS 17 standard
Conceptualized and implemented improvements and automated migration programs
Project "Market & Audience Research": blueprint and implementation of BW on HANA data models and reporting based on SAP ERP and third-party data (extraction using CDS views)
Proof of concept reporting with SAC, Microsoft Power BI, SAP BusinessObjects Design Studio
Proof of concept replacement of Broadcaster with BO Scheduling
Project "Adamant – Profitability Analysis": blueprint and implementation of BW on HANA data models and reporting with Design Studio using data from SAP CO-PA
Technologies: SAP BW 7.5, SAP BEX Analyzer, SAP BEx Broadcaster, SAP ABAP, SAP BCS, SAP HANA native, Mediapulse, R, REST-API, Confluence, MS Power BI, SAP SAC, SAP BO Design Studio, SAP BO Scheduling and Publications XI 3.0, SAP Lumira Design Studio
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.6 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
77%
Master's degree or higher
77%
Doctorate
15%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Switzerland are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range.
Average rates of experts in Switzerland using Data Modeling
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it covers
Data modeling defines how data is structured, related, and named so systems can store and use it consistently. It supports operational databases, analytics layers, and warehouse design. Teams often look for data modeling, data modelling, ER modeling, or dimensional modeling skills when the model has to stay clear and maintainable.
Where it is used
- Business and domain models for core processes
- Relational schemas for OLTP systems
- Star and snowflake models for reporting
- Canonical models for integration layers
- Data warehouse and lakehouse structures
Good specialists turn messy source data into models that fit reporting needs, application rules, and long-term change.
What strong professionals do
Strong professionals ask how the data will be queried, changed, and governed before they draw tables or entities. They define keys, constraints, relationships, and naming rules that reduce ambiguity. They also balance normalization, performance, and readability so the model remains useful after the first release.
Tooling and methods
Common work includes entity-relationship diagrams, UML-style domain views, SQL-first schema design, and dimensional design for BI. Many specialists also work with tools such as ERwin, SAP PowerDesigner, dbt docs, and modeling features in cloud data platforms. The exact tool matters less than the ability to make the model match the business.
When to bring in freelance help
Companies bring in freelance expertise when a model is being rebuilt, duplicated across teams, or tied to a new warehouse, API layer, or migration. This is common in finance, insurance, retail, healthcare, and industrial environments in Switzerland, where data quality and clear definitions matter. External specialists help when internal teams need a fresh view or extra capacity.
What good results look like
A good data model is easy to read, stable under change, and specific enough for developers, analysts, and product teams to use without guesswork. It keeps master data, reference data, and transactional data separated where needed. It also makes downstream reporting, integration, and governance simpler, not harder.
Frequently asked questions
Quick answers to the questions that come up most around Data Modeling.
A strong Data Modeling specialist delivers clear schemas, entity relationships, naming standards, and business rules that support real use cases. Depending on the project, that can mean an operational database model, a warehouse model, or a canonical integration view. The goal is to make data easier to store, query, and change.
Data Modeling focuses on the shape of the data: entities, attributes, keys, and relationships. Data architecture is broader and covers platforms, flows, governance, storage, and integrations. Many projects need both, but modeling is the part that makes the structure precise.
No. Data Modeling is the wider discipline, while dimensional modeling is one approach often used in analytics and BI. Dimensional models use facts, dimensions, and measures to make reporting easier. Operational systems often need normalized models instead.
A capable Data Modeling specialist usually understands SQL, database design, data warehousing, and business analysis. Knowledge of normalization, dimensional design, and data governance also helps. For modern projects, familiarity with cloud data platforms and dbt is often useful.
A Data Modeling project needs senior help when requirements are unclear, many systems must align, or the model will support long-term growth. It also helps during migrations, platform redesigns, and warehouse rebuilds. Senior specialists are valuable when the cost of a wrong structure is high.
Yes. Data Modeling work is often remote-friendly because reviews happen around diagrams, SQL, and written business rules. In Switzerland, remote collaboration is common, but on-site workshops can help when domain terms need to be agreed quickly. Many teams use a mixed setup.
Look for a Data Modeling freelancer who can explain trade-offs clearly, not just draw diagrams. Good signs are clean keys, sensible naming, proper handling of history, and models that fit the reporting or application purpose. Ask for examples that show how they handled change, not only structure.
There is no real difference in meaning. Data Modeling and data modelling are the same search intent, just different spelling. Searchers may also use related terms like ER modeling or dimensional modeling when they are looking for the same kind of expertise.
The average hourly rate of freelancers in Switzerland who have used Data Modeling in their recent projects is 118 €, which corresponds to a daily rate of about 940 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Data Modeling in their recent projects, 77% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 15% hold a doctorate.
On average, freelancers in Switzerland who have used Data Modeling in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Switzerland who have used Data Modeling in their recent projects are English (100%), German (88%), and French (29%).
The most common industries among freelancers in Switzerland who have used Data Modeling in their recent projects are Information Technology (82%), Banking and Finance (65%), and Manufacturing (65%).
The most common business areas among freelancers in Switzerland who have used Data Modeling in their recent projects are Information Technology (94%), Business Intelligence (71%), and Project Management (65%).
Main locations of FRATCH Experts, who have recently used Data Modeling
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
