Data Warehouse Experts in Essen
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Meet FRATCH Experts in Essen, who have recently used Data Warehouse
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
Hervé Teguim
Last position:
Senior Data Engineer at Schweizerische Post AG
Tools: Fabric, AWS, dbt, Power BI, SQL, DWH, R, Python
- Supported customers in implementing an architecture design for extracting and preparing data
- Planned the design and implementation of the BI and DWH platform
- Ensured the scalability and performance of the data platform
Henok Abraham
Last position:
Founder and Managing Director at Afworki GmbH IT-Consulting
The goal of Afworki GmbH IT-Consulting is to make small and medium-sized companies more competitive by overcoming challenges in digitalization, automation, and data management.
Tailored technology, strategy, and specialist consulting designed to meet the individual needs of each company.
Analyzing the company's current situation and developing the best possible solution together with the client.
Using both agile and classical IT project management methods to deliver projects on time and within budget.
Focusing on automating and orchestrating all data flows in a data warehouse to create a unified and standardized data foundation.
Considering the dependencies between IT and business to achieve sustainable positive effects.
Employing modern strategies and tools specifically tailored to the company's needs.
Supporting digitalization, the introduction of agile working methods, and the creation of up-to-date reports and analyses.
Objective: streamlining management and enabling well-founded, data-driven decision-making.
Asım Yurduseven
Last position:
Freelance BI/DWH/ETL Specialist at Akbank
- Setting architectural standards for Informatica Power Center development teams
- Maintenance-performance-health for DWH (Exadata) environments
- Qlik Sense / BO reports architectural standards
- Implementing best practices in ETL tasks
- Documentation ETL standards on Confluence
- Dynamic Data Masking rules for GDPR/KVKK regulations by using Informatica DDM tool
- DWH Data model Power Designer
- Upgrade Qlik Sense versions
- Merge all Informatica server's repository databases on one Oracle DB
Alain Gérard Ename
Last position:
Business Analysis / Requirements Engineering at 1&1
- Creating the functional specification for a dashboard solution for E2E management in the 5G deployment team in an Open RAN architecture
- Developing dashboards and reports with Power BI Desktop (data connection using Power Query, KPI calculations with DAX, publishing to Power BI Service)
- Developing solutions with Power Apps
- Integrating Power BI reports into Dynamics 365 Business Central
Jochen Rieseberg
Last position:
Independent IT Consultant at Verti AG
- Project: Migration of large data sets
- Result: ETL route development with AWS Glue and Talend Open Studio
Thomas Heller
Last position:
Head of Finance (Financial Controller) at Collins Foods Germany
- Built up the finance department after company start-up
- Implemented JD Edwards and SAP Concur
- Responsible for accounting and controlling with a team of 12 employees in the Netherlands and Germany
- Prepared annual financial statements including data preparation and coordination with auditors for audits
- Reported to the CFO, CEO and COO
- Networked and improved collaboration with external and internal partners
- Created budgets and forecasts
- Implemented new financial and invoice processing software
- Managed and controlled projects
- Optimized processes
Werner Hendricks
Last position:
Insurance
- Migrations of DB2 databases to Oracle
- Design and creation of new databases based on ODA X7-HA / X9-HA RAC 12cR2 - 19.23 / Data Guard / Grid Infrastructure 19c
- Hardware: ODA X7 X9 / IBM
- Software: Oracle 12c-19.23 / Oracle Linux Enterprise 7.1–8.8
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 22 years)
Position duration
2 years (Germany: 3.3 years)
Positions per freelancer
14 (Germany: 13)
Top business areas
Information Technology, Business Intelligence, Operations
Top industries
Information Technology, Insurance, Manufacturing
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
83% (Germany: 88%)
Master's degree or higher
67% (Germany: 57%)
Doctorate
17% (Germany: 10%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (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 Essen 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 Essen 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
What it is
A data warehouse is the central place where companies collect, clean, and model data for analysis. It brings together sales, finance, product, and operational data so teams can trust the same numbers. Strong specialists shape it for reporting, dashboards, forecasting, and controlled self-service analytics.
Common work
- Design star and snowflake schemas for clear reporting
- Build ETL and ELT flows from source systems
- Model facts, dimensions, and historical snapshots
- Support BI tools, metrics layers, and ad hoc analysis
These projects often sit inside broader DWH or EDW programs and may include warehouse migration, performance tuning, or data quality cleanup.
Ecosystem
A data warehouse rarely stands alone. Specialists often work with SQL, dbt, orchestration tools, cloud warehouse services, and BI tools such as Power BI, Tableau, or Looker. They also understand source systems, data catalogs, governance rules, and access controls.
When to bring in help
Companies usually call in freelance experts when reporting is slow, definitions do not match, or a warehouse has grown hard to change. That is common during platform migration, legacy cleanup, or when a team needs better testing and documentation. In Essen, this is useful for industrial firms, logistics groups, and service companies that need dependable analysis across many systems.
What strong experts deliver
Strong professionals think about data models, refresh logic, lineage, and business meaning, not just SQL syntax. They spot broken source feeds, reduce duplication, and keep warehouse structures stable as the business changes. They also write clear handover notes so internal teams can maintain the setup.
Signs of quality
Good work is easy to use and easy to trust. Look for clear naming, consistent grain, repeatable loads, and well-defined business rules. A strong data warehouse specialist can explain why a table exists, how metrics are built, and where errors are likely to enter the flow.
Frequently asked questions
Before you brief your next project: the most common questions about Data Warehouse.
A Data Warehouse is used to combine data from many systems into one consistent analytical layer. Companies use it for dashboards, finance reporting, product analysis, and management views that need stable definitions. It is built for reading and analysis, not for day-to-day transaction processing.
A Data Warehouse stores structured, modeled data for reliable querying and reporting. A data lake is usually broader and keeps raw or semi-structured data in less curated form. Many companies use both, but the warehouse is the place where business metrics are usually made consistent.
Bring in Data Warehouse specialists when a reporting stack is too slow, source systems are changing, or the current model no longer fits the business. Freelancers are also useful for migrations, redesigns, and short-term cleanup work. They can help when the internal team needs focused delivery without a long hiring cycle.
A strong Data Warehouse professional usually knows SQL very well and is comfortable with ETL or ELT design, data modeling, and orchestration. Knowledge of dbt, cloud warehouse services, BI tools, and data quality checks is often important too. Business analysis skills matter because warehouse work depends on precise metric definitions.
That depends on scope, but Data Warehouse work is rarely a good place for guesswork. Small reporting fixes may need only focused expertise, while migrations or enterprise redesigns need someone who has handled schema design, loads, and governance before. The key is proven delivery on similar structures, not a job title.
Many Data Warehouse tasks can be done remotely because most work happens in SQL, documentation, and review sessions. On-site time can help when teams need to align on business rules, legacy systems, or sensitive internal processes. In Essen, hybrid work is often a practical middle ground for local companies.
Ask for examples of warehouse models, load designs, and the way they handle change over time. A strong Data Warehouse specialist can explain grain, lineage, reconciliation, and why certain tables are built for analysis only. Clear communication is a good sign, because business users must trust the numbers.
Data Warehouse is often shortened to DWH, and EDW usually means enterprise data warehouse. In practice, both terms point to the same kind of analytical storage and modeling work, though EDW can suggest a broader company-wide scope. When hiring, it helps to ask how the specialist has handled history, governance, and multiple source systems.
The average hourly rate of freelancers in Essen, Germany who have used Data Warehouse in their recent projects is 95 €, which corresponds to a daily rate of about 759 € based on an 8-hour working day.
Of the freelancers in Essen, Germany who have used Data Warehouse in their recent projects, 83% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 17% hold a doctorate.
On average, freelancers in Essen, Germany who have used Data Warehouse in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Essen, Germany who have used Data Warehouse in their recent projects are German (100%), English (100%), and French (50%).
The most common industries among freelancers in Essen, Germany who have used Data Warehouse in their recent projects are Information Technology (88%), Insurance (63%), and Manufacturing (63%).
The most common business areas among freelancers in Essen, Germany who have used Data Warehouse in their recent projects are Information Technology (88%), Business Intelligence (75%), and Operations (75%).
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.
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