ETL Experts in Dusseldorf
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Meet FRATCH Experts in Dusseldorf, who have recently used ETL
Ludo Prokop
Last position:
Senior Consultant at Insurance
- DWH modernization
- Migration from Informatica PowerCenter to IDMC/CDI
- Migration from IBM DB2 to Databricks
Technologies: Informatica IDMC, Databricks
Archana Ravikumar
Last position:
Power BI Assistant at Cataliquent Projekt GmbH
- Evaluate, design, and implement Power BI solutions for Cat4 reporting, significantly improving reporting efficiency, accuracy, and stakeholder visibility.
- Develop and maintain robust data integration interfaces between Cat4 and Power BI, eliminating manual processing bottlenecks.
- Configure and continuously optimise Power BI reports to deliver sharper management insights and support data-driven decision-making.
- Ensure full GDPR data protection compliance across Power BI reports, proactively identifying and mitigating risks.
- Acquired in-depth product knowledge of CAT4, a globally deployed enterprise platform, enabling effective requirements analysis, solution design, and seamless Power BI integration across client environments.
- Developed and integrated scalable reporting templates within the CAT4 product interface, delivering new product features and enhancing data visualisation, reporting efficiency, and stakeholder visibility across global users.
- Trained and mentored staff on Power BI configuration and best practices, accelerating adoption and embedding a data-driven culture.
- Prepared clear technical documentation and delivered hands-on demonstrations to end users and clients, ensuring smooth adoption and confident use of Power BI solutions integrated with CAT4.
- Researched and recommended licensing strategies for cost-effective and scalable Power BI deployment.
SKILLS - BI & Visualisation: Power BI (Desktop, Service, Report Builder), DAX, Power Query
Project and Product Management Tool: CAT4
Olga Methner
Last position:
Telefónica Deutschland Holding AG
- Implemented the BI solution and replaced the old BI landscape
- Led the “Sales Bonus Plan” subproject: expanded the existing solution and migrated to Azure (Databricks)
- Led the “Cognos Migration” subproject: expanded existing data warehouses based on MS technologies (source systems: Oracle), analyzed business requirements and designed the technical solution
- Expanded the relational DWH database
- Developed ETL processes using SSIS
- Developed the multidimensional database (OLAP Cubes/SSAS)
Stefan Rübener
Last position:
Corporate Controller / Private Equity Controller (PE) interim at Amedes Medical Services GmbH
- Responsibility for group-wide financial management with a focus on management, PE, and lender reporting.
- Focus on an integrated financial model (P&L, balance sheet, cash flow), robust liquidity and covenant management, and preparation of decision-ready materials for financiers, auditors, and rating stakeholders.
- Establishment of reporting standards, data logic, and closing routines for high-frequency scalability.
- Further development of an integrated financial model (P&L/BS/CF), including scenario capabilities, sensitivities, and driver-based forecasting logic.
- Design and management of a rolling liquidity plan (short-/mid-term), including working capital mechanisms and financing instruments.
- Preparation and quality assurance of lender reporting, including covenant calculations, bridge analyses, and variance explanations.
- Support for the CFO agenda in financier and stakeholder communication (Q&A, documentation logic, key messages, data consistency).
- Coordination and content input for rating- and financing-related deliverables (e.g., presentations, data rooms, management commentary).
- Management of IFRS/accounting topics (e.g., IFRS 16 lease logic, accrual and reconciliation concepts) to ensure reporting and audit readiness.
- Standardization of reporting structures, templates, and KPI definitions across entities to increase transparency, comparability, and speed.
Hans-Dieter Große-Kreul
Last position:
Training as an AI Expert
I continuously expand my expertise in AI and automation, working with ChatGPT, OpenAI, Manus, Gemini, MS CoPilot, API, LangChain, Hugging Face, Manus, TensorFlow and Auto-GPT as well as Python-based ML frameworks and MLOps tools to intelligently transform classic software development, analysis, and testing processes.
Jürgen Schoemaker
Last position:
IT Consultant / Analyst / Developer / Tester / Support at Automotive Manufacturer
- Analysis, software development/customization, and testing of various transaction and batch objects
- Conducting functional integration and regression tests on TEST and QA platforms under z/OS for later production implementation
- Hardware / Software / Tools: IBM MVS, z/OS, JES2/3, TSO-ISPF, JCL, DB2, SQL, SQL/PL, QMF, QMF for Workstations, SPUFI, FileAid, IMS-DB/DC, MFS, XPEDITER, COBOL, REXX, Windows 10, MS Office 365, MS Teams, batch job management via OPC, BETA92, RVS, BVB, ABL, DIALOGplus, PROBA, PRODPR (VW internal systems), JIRA, CONFLUENCE
Younes Hadrous
Last position:
Senior Backend Developer at PTA
- Development and maintenance of database-driven applications for managing supplier and food contracts, using Oracle PL/SQL extensively for complex business logic and data processing
- Optimization of PL/SQL procedures, functions, and triggers to ensure the performance and scalability of Oracle database solutions
- Ensuring adherence to best practices in PL/SQL development and implementing standards for code quality and data integrity
- Close collaboration with backend and frontend teams to ensure seamless integration between the Oracle database, C#-based APIs, and Azure cloud services
Dalia Cananau
Last position:
Oracle Developer at Freelance
- Design and implementation of an OCI-based data warehouse and ETL system to replace legacy mainframe applications
- Developed a database optimization strategy and planned the rapid conversion of JCL and COBOL routines to PL/SQL using AI
- Developed an Oracle Apex-based app for internal administrative processes in the public sector (office equipment, staff training)
- Implemented PL/SQL workflows for approval processes and created a responsive mobile version with JavaScript and CSS
- Used Azure DevOps for backlog management and documentation, and Git for version control
- Developed REST interfaces to CRM systems
- Replaced and reprogrammed Oracle Forms screens with Oracle Apex and updated to the latest Apex versions
- Designed a Git branching strategy and conducted code reviews
- Maintained and further developed an EDI-based data exchange system based on Oracle Advanced Queuing for the public sector in Austria
- Performed data analysis and created charts in the Oracle Apex frontend; installed standalone ORDS and Apex 23.1
- Worked agile using the Spotify model; developed complex Apex pages with support from Oracle JET
- Rebuilt and customized existing PL/SQL packages, created workarounds for database version differences, and optimized queries
- Developed Apex applications for broker pools to manage and optimize Oracle databases in the banking environment, including SSO-based authorization systems with OAuth2 and Keycloak
- Built extensive Oracle Apex applications for BI and data mining modernization projects and developed manual and automated projection methods in the frontend
- Carried out data warehousing projects in the banking sector and used Scrum and Kanban in team projects
Jürgen Von Agris
Last position:
Instructor / Trainer at SAP Training Company
- Instructor / Trainer
- SAP applications in SAP S/4 HANA - Sales, Sourcing Procurement, Logistic Execution, SAP Foundation
- SAP S/4 HANA - Fiori UX and Fiori Launchpad
- Cross-module MM application - Sourcing & Procurement
- Business processes SAP S/4 HANA Procurement
- Purchasing processes SAP S/4 HANA MM
- Incoming processes SAP S/4 HANA MM
- Supplier invoicing SAP S/4 HANA MM
- Pricing & plant determination SAP S/4 HANA MM
- Automation in SAP S/4 HANA MM
- Business processes SAP S/4 HANA Pre & After Sales
- Sales processes SAP S/4 HANA Sales
- Delivery processes SAP S/4 HANA Sales
- Billing SAP S/4 HANA Sales
- Pricing SAP S/4 HANA Sales and Storage Rooms and Lean-EWM
- Automation in SAP S/4 HANA Sales
- SAP S/4 HANA – SAP Private Cloud – Release 2023
Akash Bhandari
Last position:
SAP BW/4HANA & SAC Lead at Nagarro
- Led the design, implementation, and optimisation of SAP Analytics Cloud (SAC) dashboards, stories, and reports for business users.
- Worked closely with business stakeholders to gather and analyse reporting requirements, translating them into technical designs.
- Integrated SAC with SAP BW/4HANA, SAP S/4HANA, SAP HANA Views, and external data sources.
- Developed SAC Planning models and supported planning processes, including input forms, allocations, forecasts, and simulations.
- Configured live and import connections to SAP and non-SAP data sources.
- Conducted performance tuning, security setup, and ensured data accuracy in SAC environments.
- Provided training, documentation, and best practices for SAC adoption across the organization.
- Led incident management, change requests, and enhancements in SAC landscapes.
Ehsan Meisami
Last position:
BI Developer at Telecommunications Infrastructure
- Gather and analyze requirements in close collaboration with business units to develop data-driven solutions and scalable PowerBI reporting infrastructures.
- Perform detailed debugging and optimize existing semantic and data models to ensure a robust data architecture, high data quality, and improved PowerBI reporting.
- Design and implement scalable ETL processes for data preparation and integration.
- Create a wiki for table and view descriptions as well as PowerBI PowerQuery and KPI documentation to ensure a consistent understanding of data structures and metrics.
Rüdiger Kohl
Last position:
Data Analyst and Reporting Manager at Energieversroger
Implemented Power BI reporting for various departments at an energy provider. Agile project: responsible for organizing and coordinating with departments and IT, and regularly presented interim steps and results to project management.
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
Ronny Herold
Last position:
Förderbank Deutschland
- Extraction and transformation of relevant data from the SAP system developed for the bank and consolidation into the existing reporting environment
- Integration of the data into the existing BI model (extending the star schema to a galaxy schema) for generating the funding committee report and the business development report
- Ensuring data quality
- Knowledge transfer to department staff (SAP, SQL database, Power Pivot, DAX)
Marco Gramke
Last position:
Telair
- Improvement of Tagetik
- Other tasks
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
24 years (Germany: 17 years)
Position duration
1.9 years (Germany: 5.2 years)
Positions per freelancer
16 (Germany: 11)
Top business areas
Information Technology, Business Intelligence, Finance
Top industries
Information Technology, Insurance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Human Resources
Bachelor's degree or higher
90% (Germany: 95%)
Master's degree or higher
60% (Germany: 66%)
Doctorate
10% (Germany: 11%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 96%)
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 Dusseldorf 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 Dusseldorf using ETL
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
ETL work
ETL stands for extract, transform, load. It moves data from source systems into targets where teams can report, analyse, and automate decisions. Strong ETL work keeps data consistent, traceable, and ready for use.
Typical deliverables
- Batch and near-real-time pipelines
- Data mappings and transformation rules
- Load jobs for warehouses and lakehouses
- Validation, monitoring, and error handling
- Documentation for data flows and ownership
Tooling and stacks
ETL specialists often work with Informatica, Talend, Microsoft SSIS, Apache Airflow, dbt, and cloud services such as AWS, Azure, or Google Cloud. They also handle SQL, file formats, APIs, and scheduling tools that keep pipelines stable.
When companies bring in help
Teams usually need freelance ETL expertise when a migration is urgent, source systems are messy, or loads keep breaking. It also helps when a company needs to connect ERP, CRM, and analytics systems without slowing down internal teams. In Dusseldorf, this often comes up in manufacturing, trade, logistics, and finance.
What strong specialists do
A strong ETL professional understands source data, business rules, and target model design. They test edge cases, document assumptions, and make failures easy to detect and fix. They also know when to use ETL and when ELT is the better fit.
Working with the team
Many ETL assignments are remote, but workshops and data reviews can work better on-site when source owners are local. In Dusseldorf, clear German or English communication helps with business users, analysts, and technical teams alike. Good specialists adapt to the pace and process of the company they join.
Frequently asked questions
Before you brief your next project: the most common questions about ETL.
ETL is used to move data from source systems into a form that teams can trust and use. It is common in reporting, analytics, master data flows, and integrations between business systems. Good ETL keeps definitions consistent and makes data easier to audit.
ETL transforms data before it reaches the target system, while ELT loads first and transforms later inside the warehouse or lakehouse. ETL is often chosen when data must be cleansed, reshaped, or validated before it lands. ELT can fit cloud-native analytics stacks, but ETL still matters when control and pre-load checks are important.
A strong ETL setup may use Informatica, Talend, Microsoft SSIS, Apache Airflow, dbt, SQL, and cloud services from AWS, Azure, or Google Cloud. The right stack depends on source systems, data volume, and how much orchestration or governance is needed. Many projects also rely on APIs, file transfers, and scheduling tools.
A good ETL professional should know SQL, data modeling, source system behavior, and basic testing. They also need strong attention to data quality, logging, and failure recovery. Communication matters too, because business rules often live with analysts and process owners.
The answer depends on complexity, but ETL work usually needs someone who has handled real source-to-target mappings and production support. Simple file loads are easier than multi-system pipelines with rules, exceptions, and dependencies. If the project touches finance, operations, or customer data, proven experience becomes more important.
Yes, many ETL specialists work remotely, especially for pipeline build, mapping, and testing tasks. On-site time can still help for workshops, access questions, and discussions with local source-system owners. For teams in Dusseldorf, a mix of remote delivery and in-person sessions often works well.
Look for clear source-to-target logic, good error handling, and repeatable loads. A strong ETL delivery also includes documentation, monitoring, and easy recovery when a source changes. If a specialist can explain trade-offs and testing clearly, that is usually a good sign.
Yes. ETL is still relevant whenever data needs cleansing, enrichment, or validation before it is loaded. Even in cloud projects, many teams keep ETL patterns for sensitive, messy, or highly governed data flows. The approach changes, but the need for reliable transformation does not.
The average hourly rate of freelancers in Dusseldorf, Germany who have used ETL in their recent projects is 100 €, which corresponds to a daily rate of about 801 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used ETL in their recent projects, 90% hold at least a Bachelor's degree, 60% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers in Dusseldorf, Germany who have used ETL in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Dusseldorf, Germany who have used ETL in their recent projects are German (93%), English (93%), and French (13%).
The most common industries among freelancers in Dusseldorf, Germany who have used ETL in their recent projects are Information Technology (80%), Insurance (60%), and Professional Services (53%).
The most common business areas among freelancers in Dusseldorf, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (93%), and Finance (53%).
Main locations of FRATCH Experts, who have recently used ETL
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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