Data Warehouse Experts in Hanover
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Meet FRATCH Experts in Hanover, who have recently used Data Warehouse
Michael Serejenkov
Last position:
Data Scientist at CompuGroup Medical Deutschland AG, docmetric GmbH
Development of AI-based and classical models for analyzing medical and patient data, including medication analyses, diagnosis analyses, forecasts, procedure analyses, dosage analyses, comorbidity analyses, prescription analyses, patient potential analyses, and referral profile analyses. Analyses in the area of Real World Evidence.
- Gathering customer requirements
- Planning the subproject
- Designing and defining KPIs
- Designing and developing models and visualizations of the results using customer dashboards
- Developing and implementing DWH adjustments
- Deriving recommendations for action
Methods, technologies: Simulation, Artificial Intelligence, Python, R, SQL, Microsoft Power BI, Amazon Web Services, Elasticsearch, PostgreSQL, Databricks, Multivariate Statistics
Thore Fahrtmann
Last position:
Data & AI Consultant at ContiTech GmbH
- Consultancy Databricks Lakehouse Platform Architecture
- Migration of existing manufacturing data services to Databricks. Existing services are running on various platforms & tools and are unified on target platform
- Implementation of new Data & AI use cases on Databricks platform (e.g. connecting new systems, building AI Agent prototypes, …)
Tech Stack: Databricks, Azure, PySpark, Python
Joern Thieme
Last position:
Senior Software Developer | Database Expert | Business Intelligence | 24+ years of project experience at HannoMax GmbH
Are you looking for more than just a developer, but a partner who understands business processes and develops sustainable solutions? Then I am the right person for you.
For more than 24 years, I have been helping companies develop software solutions, use data intelligently, and make business processes more efficient. I combine solid technical expertise with a deep understanding of business operations and economic relationships.
My focus is on developing custom software and database solutions as well as integrating existing systems. I have implemented numerous projects in which CRM, ERP, webshop, logistics, and other business systems were connected with each other. The result is automated processes, less manual work, and higher data quality.
I also develop business intelligence and data warehouse solutions as well as management reports that give decision-makers a reliable data basis at any time.
I get up to speed quickly in existing systems and also find practical, cost-effective solutions for complex requirements. I always keep the overall system in view - not just individual lines of code.
My services at a glance:
- Custom software development
- Database development and performance optimization
- Business Intelligence & Data Warehouse
- Management reporting and dashboards
- ERP, CRM, webshop, and logistics integration
- Interface development and process automation
- Analysis and optimization of business processes
- Technical consulting and solution architecture My clients value my structured way of working, my quick grasp of things, and my high standards of quality. I think like an entrepreneur, communicate on equal footing, and develop solutions that work well in the long run.
My goal is simple: simplify processes, make data usable, and help companies become more successful with well-thought-out software solutions.
Maximilian Mayerhofer
Last position:
Test Data Creation and Management at statutory accident insurance
- Provision of cross-system synthetic test data for test automation for insured persons, companies and external partners in coordination with specialist departments and stakeholders, taking requirements and test cases into account
- Synthesis of test data with regard to data protection and data security
Olaf Stier
Last position:
Project Manager InEK Costing (interim) at Healthcare Group (Private Equity)
- First InEK costing for four hospitals
- Project management
- Products: Orbis, SAP, Excel, TIP HCe, Logex
Torsten Glunde
Last position:
Datavault with Informatica on Oracle at SEFE
- Datavault modeling and performance improvements in Oracle.
- Requirements process with model-driven Datavault automation.
- Preparation of business requirements for the pricing database in the gas and electricity market.
- Sales performance based on Salesforce CRM.
- Tasks: design and development.
- Tools used: Informatica, Oracle, DBT, Docker, DataOps, Airflow Workflow, Python Ingestion, Gitlab CI.
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
20 years (Germany: 22 years)
Position duration
1.8 years (Germany: 3.3 years)
Positions per freelancer
23 (Germany: 13)
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Automotive, Energy
Certification focus areas
Information Technology, Quality Assurance, Audit
Bachelor's degree or higher
100% (Germany: 88%)
Master's degree or higher
75% (Germany: 57%)
Doctorate
25% (Germany: 10%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
83% (Germany: 95%)
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 Hanover 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 Hanover using Data Warehouse
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
Data hub
A data warehouse brings information from many systems into one place for analysis and reporting. It helps teams work with trusted data instead of scattered exports, manual spreadsheets, and conflicting numbers. Companies use it for dashboards, business intelligence, and clearer decisions.
Common stacks
- Dimensional models and star schemas
- ETL and ELT pipelines
- SQL, dbt, and orchestration tools
- Cloud warehouses such as Snowflake, BigQuery, and Amazon Redshift
- Data quality checks and documentation
When to hire
Bring in freelance experts when a warehouse is slow, hard to trust, or no longer fits the business. They help during migrations, new source integrations, model redesigns, and recovery work after broken pipelines. In Hanover, they are often used by industrial, logistics, retail, and service teams that need cleaner reporting.
Strong skills
Good specialists understand source systems, business rules, and how data moves through staging, transformation, and serving layers. They write clear SQL, design maintainable models, and spot problems in freshness, lineage, and access control. They also know how to work with analytics teams and keep definitions consistent.
Delivery work
- Data warehouse design and schema planning
- Pipeline build and migration support
- Reporting layer cleanup and metric alignment
- Performance tuning for queries and loads
- Documentation for handover and operations
Engagement fit
Freelance support works well for short, focused tasks and for larger modernization programs. A specialist can join remote or on-site work, depending on access to internal systems and team routines. In Hanover, many companies prefer a mix of local collaboration and remote execution for warehouse projects.
Frequently asked questions
Everything clients usually want to know about Data Warehouse, in one place.
A Data Warehouse collects data from multiple operational systems and prepares it for analysis. It gives teams one place to query sales, finance, operations, and product data without pulling from separate sources every time. That makes reporting faster and more consistent.
A Data Warehouse is built for structured analysis, reporting, and well-defined business logic. A data lake is better for storing raw or semi-structured data at lower cost. Many companies use both, but the warehouse is usually the trusted layer for dashboards and KPIs.
A strong Data Warehouse specialist usually brings SQL, data modeling, ETL or ELT design, and cloud platform knowledge. dbt, Airflow, Snowflake, BigQuery, and Redshift often come up in real projects. Business understanding matters too, because the model has to match how the company actually reports.
You need senior Data Warehouse help when migrations, performance issues, or broken definitions start affecting trust in the numbers. It also matters when source systems change often or different teams disagree on metric logic. In those cases, experience saves time and avoids rework.
Yes, most Data Warehouse work can be done remotely if the specialist has secure access to the systems and enough context from the team. On-site time can help during discovery, stakeholder workshops, or sensitive migration phases. Many Hanover companies use both approaches.
A Data Warehouse is often compared with operational databases, data lakes, and lakehouse setups. The right choice depends on whether the main need is reliable reporting, flexible storage, or a mix of both. For business intelligence, the warehouse is still the clearest fit in many cases.
Look for clear examples of model design, pipeline ownership, and query optimization in a Data Warehouse project. Good specialists explain trade-offs simply and can describe how they handled data quality, lineage, and access rules. If they talk only about tools and not about business definitions, that is a warning sign.
A Data Warehouse freelancer should understand the source systems, key reports, naming rules, and who owns each metric. They also need access expectations, security constraints, and release processes up front. The better the handover, the faster they can deliver useful work.
The average hourly rate of freelancers in Hanover, Germany who have used Data Warehouse in their recent projects is 105 €, which corresponds to a daily rate of about 839 € based on an 8-hour working day.
Of the freelancers in Hanover, Germany who have used Data Warehouse in their recent projects, 100% hold at least a Bachelor's degree, 75% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Hanover, Germany who have used Data Warehouse in their recent projects have 20 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Hanover, Germany who have used Data Warehouse in their recent projects are German (100%), English (83%), and French (33%).
The most common industries among freelancers in Hanover, Germany who have used Data Warehouse in their recent projects are Information Technology (100%), Automotive (83%), and Energy (67%).
The most common business areas among freelancers in Hanover, Germany who have used Data Warehouse in their recent projects are Information Technology (100%), Project Management (100%), and Business Intelligence (83%).
Main locations of FRATCH Experts, who have recently used Data Warehouse
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
