Data Modeling Experts
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Meet FRATCH Experts who have recently used Data Modeling
Jörg Kopitzke
Last position:
Exec. Coach / Consultant / Agilist at HASOMED GmbH
Repaired a broken “ScrumBan” process, then established a pure Kanban system; increased output in the Kanban flow by 22% within four weeks
Increased team autonomy and decision-making ability by implementing new decision strategies; resulting in up to 25% better outcomes
Redesigned retrospectives (including one-to-one coaching and workshops), which led to consistent implementation of the resulting action items
Intensive coaching of Product Owners (POs) to develop and support “Empowered Teams”, alongside leadership development to place agile frameworks and methods in a realistic context (“de-illusioning”)
Supported change management processes to promote an agile company culture among management and teams, improving internal communication to increase transparency and effectiveness in agile processes
Khalid El Mansouri
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Johannes Hohenthaner
Last position:
Business Analyst for Riester subsidy management migration at Insurance company
- Analysis of the Riester subsidy GeVos for provider change 2.0 in the AZUR subsidy management system
- Representation of the GeVos in BPMN 2.0 with Draw.io and Adonis
- Analysis of the data sets exchanged with the life insurance policy administration system and migration to the msg data sets
- Design and mapping of the interfaces to the new msg.ZulagenVerwaltung for various Riester subsidy GeVos at data field level
Kathrin Siegmann
Last position:
Requirements Engineer at Governikus GmbH & Co. KG
- Analysis, documentation, and alignment of requirements. Conducting stakeholder analyses, interviews, and workshops for requirements gathering and validation. Carrying out requirements reviews and working closely with business units and development teams.
Techniques & tools: requirements engineering, stakeholder management, workshop facilitation, system context modeling, requirements reviews, quality scenarios, Miro, Jira, Confluence
Fadi Shoaa
Last position:
Development of a production-ready Enterprise Document AI & Recommendation Platform at Freelancer
- Development of a production-ready Enterprise AI solution for the automated processing of invoices and business documents
- Integration of Azure AI Document Intelligence and LLM technologies into existing business processes
- Development of robust REST APIs for automated document processing and system integration
- Extraction, validation, and storage of structured invoice data in Azure SQL as a base for analytics and machine learning models
- Development of an AI-based recommendation engine with machine learning and deep learning to generate personalized product recommendations based on historical purchase data
- Implementation of logging, monitoring, error handling, and validation mechanisms for stable production use
- Collaboration with business teams to define business rules and integrate the solution into existing enterprise processes
Technologies: Python, Azure AI Document Intelligence, Azure OpenAI, Azure SQL Database, REST APIs, Machine Learning, Deep Learning, OCR, Pandas, JSON, Workflow Automation
Yusuf Demirci
Last position:
Senior Project Management Transformation & Data at BG-PREVENT
Nationwide service provider for occupational medicine, occupational safety, and health management with a focus on prevention, health, and digital transformation.
- Role: Responsible for building and further developing professional project portfolio management in the area of Digital Transformation & Data. Steering and supporting strategic IT and transformation projects as well as supporting the introduction and establishment of project management standards, methods, and governance structures.
Focus areas:
- Build-up and further development of IT project portfolio management
- Analysis and structuring of business and technical requirements
- Steering and coordination of cross-functional IT initiatives
- Stakeholder management at business, management, and service provider level
- Introduction and further development of project management methods and tools (including Jira, Confluence, MS Planner)
- Preparation of decision bases, target visions, and implementation concepts in the context of digital transformation
- Steering and coordination of transformation, digitalization, and organizational projects
- Preparation of decision papers and management documents for steering committees
- Running workshops and stakeholder management with business units and IT teams
- Definition of requirements for dashboards, reporting, and KPI steering
- Support in the project Wissenskompass (requirements analysis and MVP concept)
- Analysis and evaluation of AI support options in knowledge management
- Investigation of AI use cases to improve knowledge provision and use
- Consideration of AI requirements as part of the Wissenskompass concept
- Coordination with strategic business units on the further development of project management standards
- Introduction, configuration, and training of Microsoft Planner to support project and task management
- Conducting user training and supporting employees in the introduction of new ways of working and tools
Thorsten Huber
Last position:
Product Owner, AI Manager at crazyALEX.de GmbH
Digitizing real-world places with 3D/LiDAR scans to make spatial data usable for AI applications and to derive concrete use cases and prototypes from it.
- Digital capture of real-world places as a basis for faster planning and analysis
- Browser-based access to 3D data for easier use and coordination
- Turning spatial data into concrete use cases, prototypes, and AI training scenarios
- Planning basis for urban development and other digital future applications
Keywords: LiDAR, 3D scan, AI, use cases, AI training, prototyping, Python, web development, data models, architecture
Thomas Polanski
Last position:
Project Manager & Product Owner – M&A Integration at voxa c/o IC Music and Apparel GmbH
- Project management of the legal and system-side integration of Taschenkaufhaus into the Voxa group: conversion of all contracts, accounts, and system access rights on the defined cutover date
- Migration from Microsoft Dynamics NAV 2009 to 2013: analysis of all existing interfaces, redefinition of processes, and coordinated go-live without interrupting operations
- Integration of the complaints and returns process into MS Dynamics NAV 2013; major process simplification through standardization
- Introduction of a new POS system (Shopify POS) in all stores: requirements analysis, configuration, rollout, and employee training
- Use of n8n automation workflows for data reconciliation between marketplaces and ERP; manual processes significantly reduced
Wolfgang Orgler
Last position:
Business Analyst at Österreichische Post AG
IT systems: Azure DevOps, SharePoint, Opal/Repost, JustinMind, Monday, SAP
Analysis of requirements for branch software
Coordination of intercultural teams
Partly agile project organization
Master data management / DMS
UI/UX design and mockup creation
Requirements documentation
Digitalization of signatures
Stakeholder management and workshop facilitation
Billing/bank transfer
Business analysis / requirements engineering
Mladen Blagojevic
Last position:
Senior SAP BW/4HANA / BPC / SAC Consultant – Freelancer at Company in Berlin and Belgium in the utilities sector
- Implementation of data models in BW/4HANA, ABAP CDS Views, HANA Calculation Views, AMDP Scripts, OData Services, object-oriented ABAP in BW, SAC.
- Adjustments in BPC for BW/4HANA.
Christoph Thodte
Last position:
Backend Software Developer (Java) at German Football Association (DFB) e. V.
- Client: Prime Force Group GmbH
Technologies used: Java 25, Spring Boot 4, MapStruct, JSpecify, PostgreSQL, Redis, Liquibase, REST/OpenAPI, Apache Kafka, Apache Solr, OpenID Connect via IronGate/Keycloak, SAP Customer Data Cloud, JUnit, Testcontainers, Karate, Playwright, GitLab monorepo with CI/CD, Jenkins, JFrog Artifactory, FluxCD, Docker, Kubernetes on Azure, OpenTelemetry, arc42, Jira, Confluence
The Team Management Center is the new central platform of the DFB for planning, managing, and carrying out team activities for the national teams - from squad selection and training camps to communication with players, clubs, and legal guardians. The platform is designed for multi-tenancy for the DFB and regional associations; player, club, and master data are intentionally not copied, but connected at runtime via the DFBnet APIs.
I have been involved in the project continuously since the architecture and concept phase (Sprint 0) and work in a distributed Scrum team in two-week sprints. In addition to implementation, my focus is on architecture alignment, connecting the DFBnet interfaces, as well as code reviews and test automation as quality assurance in the team.
Focus areas:
- Development and implementation of the multi-tenancy concept (tenant model for the DFB and regional associations), including data model, access layer, and Liquibase migrations.
- Design of the person service and the search concept based on Apache Solr.
- Integration of the DFBnet APIs (player, person, and club search, club data), including authentication and synchronous master data synchronization.
- Hardening the integration through resilience patterns: separate read timeouts for each search path, correction of circuit breaker counting, limiting parallel requests, and a club cache to reduce load on the external system.
- Development of self-service endpoints for players (own activities, activity details, games), including an access concept for participants, as well as person documents and file uploads.
- Standardization of API design: OpenAPI annotations, nullability model via a custom ModelConverter, JSpecify migration of the DTOs, and documented API guidelines.
- Build and maintenance of Karate-based API and integration tests, integration tests with Testcontainers, test guidelines, and bug triage from the integration and reference environments.
- Code reviews via merge requests, architecture documentation according to arc42, and architecture decisions (ADRs) in Confluence.
- Automated deployment to the integration and reference environments, analysis of login and OIDC issues in combination with IronGate.
Status: ongoing - as of 08/2026 in Sprint 17, around 940 person hours worked; testable delivery to the integration environment every two weeks.
Peter Herrmann
Last position:
Consultant Financial Data Warehouse Migration Interfaces Reporting at Large bank / central institution
- New connection of the product interfaces of the Financial Data Warehouse (FDW) directly to the Abacus 360 native interfaces
- IT environment: PC, client-server, Citrix remote client, Oracle DB
- Mapping of FDW outbound to Abacus 360 Native
- Analysis of requirements documents, business concepts, and existing interface rules
- Definition of new FDW rules for outbound to Abacus 360
- Adjustment of test scripts for the new interfaces
- Execution of tests to ensure correct data delivery and processing
Henning Uiterwyk
Last position:
Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON
- Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
- Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
- Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
- Operationalization of the Data Governance Framework with definition of data standards
- Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
- Training and coaching the data team in migration, data quality, and data modeling
Oleg Orlov
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Umut Gülac
Last position:
Data Architect at BA Technology
I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.
I delivered following projects and engagements as a freelancer.
- Data Migration of CRM System for AL-FA Objekt Service Gmbh
- Microsoft Software Resales Partnership
I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer
Technical Focus Areas
- Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
- DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
- Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
- MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
- Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Discover over 15,000 top freelancers
Statistics of experts using Data Modeling
Aggregated from the professional profiles of matched freelancers.
Experience
19 years
Position duration
3 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Professional Services, Banking and Finance
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
92%
Master's degree or higher
63%
Doctorate
10%
Certifications per freelancer
3
Most common languages
German, English, French
Speak two or more languages
97%
Based on our profile pool as of 6 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology 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 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 6 Sep 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, named, related, and governed. It turns business rules into a schema that teams can build on, query, and trust. Strong work here reduces duplicate records, broken reports, and unclear ownership.
Common patterns
- Conceptual, logical, and physical models
- ER diagrams and relationship rules
- Normalized transactional designs
- Dimensional models for BI and analytics
- Schema changes that keep systems stable
These patterns show up in ERP, CRM, finance, product analytics, and master data work. A good specialist knows when to use normalization and when a star schema is the better fit.
Tools and methods
Data modeling often sits next to SQL, database design, and warehouse engineering. Many specialists also work with dbt, UML-style diagrams, catalog tools, and documentation standards that keep models readable for teams. The real skill is not the tool itself, but the ability to translate business rules into structures that stay consistent.
When to bring in help
Companies bring in freelance expertise when a database has grown messy, reporting does not match operations, or a new platform needs a clean design before launch. This is common during migrations, warehouse rebuilds, mergers, and product redesigns.
- Conflicting definitions across teams
- Slow reporting caused by poor structure
- Repeated schema changes without standards
- A new data warehouse or lakehouse design
What strong specialists do
Strong professionals ask where the data comes from, how it changes, who owns it, and how it will be queried later. They balance business meaning with technical constraints, write models other teams can maintain, and document assumptions clearly.
Why quality matters
Good data modeling makes systems easier to extend and easier to trust. Poor modeling creates hidden joins, duplicated logic, and fragile dashboards. The best work is practical: it fits real usage, supports change, and keeps the data understandable over time.
Frequently asked questions
Curious about Data Modeling? Here are the answers that come up again and again.
Data modeling is used to define how business data should be stored, connected, and interpreted. It supports operational databases, reporting layers, and analytics warehouses by making relationships and rules explicit. That helps teams build systems that are easier to maintain and easier to query.
Data modeling focuses on the meaning and structure of the data first, while database design turns that structure into a working implementation. A model may describe entities, keys, and relationships before any table is created. Database design adds details such as indexes, constraints, and storage choices.
Data modeling is the broader discipline, and dimensional modeling is one style within it. Dimensional models are common in BI and analytics because they are designed for fast reporting and clear business questions. Normalized models are often better for transactional systems where consistency matters more than report simplicity.
A strong Data Modeling specialist usually also understands SQL, database constraints, and how source systems feed downstream reporting. Familiarity with data warehousing, ETL or ELT flows, and business analysis is often important. Documentation skills matter too, because the model has to be understood by more than one team.
A data modeling project works best when the specialist can see the main business entities, key reports, and source systems early. Even a short discovery phase helps clarify definitions, ownership, and naming rules. The more complex the platform, the more useful it is to review existing schemas and pain points before changing anything.
Bring in Data Modeling expertise when the internal team is busy, the current schema is causing reporting issues, or a major redesign is underway. Freelancers are also useful for one-off work such as warehouse planning, migration support, or a review of an existing model. They can add structure without forcing a long hiring process.
Yes, data modeling is often a strong fit for remote work because the main outputs are diagrams, definitions, and documented rules. Workshops can happen online with product, analytics, and engineering stakeholders. On-site sessions can help when the organization needs heavy cross-team alignment, but they are not always required.
Good Data Modeling work is clear, consistent, and easy to extend. Check whether entities are well named, relationships are unambiguous, and business terms match the source of truth. Quality also shows up when the model supports real queries without forcing confusing workarounds or repeated logic.
The average hourly rate of freelancers who have used Data Modeling in their recent projects is 101 €, which corresponds to a daily rate of about 805 € based on an 8-hour working day.
Of the freelancers who have used Data Modeling in their recent projects, 92% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers who have used Data Modeling in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 3 years.
The most common languages among freelancers who have used Data Modeling in their recent projects are German (99%), English (95%), and French (20%).
The most common industries among freelancers who have used Data Modeling in their recent projects are Information Technology (86%), Professional Services (50%), and Banking and Finance (49%).
The most common business areas among freelancers who have used Data Modeling in their recent projects are Information Technology (96%), Business Intelligence (73%), and Product Development (73%).
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.
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Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Leipzig 
Essen 
Nuremberg Request a free demo
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FRATCH CEO
