
ETL Experts in Dusseldorf
to move trusted data into every important system, matched in minutesHire experts who design reliable extract, transform and load pipelines, connect cloud warehouses with operational systems, and improve data quality across complex environments. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Dusseldorf, who have recently used ETL
Sergei M.
Last position:
Interim Program Manager at parcIT
Time-limited interim assignment filling a vacant program leadership position: joint leadership of a complex software project and orchestration of several agile teams (business, development, and DevOps teams), as well as actively driving change processes.
- Program Management & Planning: Responsibility for creating and updating milestone, resource, and budget plans to ensure project objectives using agile and hybrid methods.
- Cross-functional Collaboration: Promoting cooperation and knowledge sharing across teams; resolving blockers through proactive conflict management and targeted facilitation.
- Stakeholder Management & Transparency: Ensuring transparent and audience-appropriate communication within and outside the project organization using modern project management tools.
Saruna M.
Last position:
Master's Thesis at Heinrich Heine Universität
- Title: Enhancing Syntactic Awareness in Transformer Language Models for Hindi Dependency Parsing
- Investigated syntactic knowledge captured by transformer language models (RoBERTa, XLM-RoBERTa) for Hindi dependency parsing, a morphologically rich and low-resource language.
- Developed structure-aware model variants (Struct_Roberta_hi, Struct_XLMR) by integrating a CNN-based parser network between transformer layers, inspired by the StructFormer architecture.
- Conducted extensive error analysis including label-wise, distance-based, direction-based, sentence length-based, and LVC/Non-LVC evaluations.
- Evaluated models on downstream NLP tasks (NER, POS tagging) using the IndicXTREME benchmark.
Ludo P.
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 R.
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 M.
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)
Younes H.
Last position:
Senior Backend Developer at PTA
- Development and maintenance of database-driven applications for managing supplier and food contracts, with extensive use of Oracle PL/SQL 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 compliance with best practices in PL/SQL development and implementing standards for code quality and data integrity
- Close collaboration with backend and frontend teams to ensure smooth integration between the Oracle database, C#-based APIs, and Azure cloud services
Stefan R.
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.
Jürgen S.
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
Dalia C.
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 V.
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 B.
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 M.
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 K.
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 R.
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 H.
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)
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
21 years (Germany: 17 years)

Position duration
1.8 years (Germany: 5.2 years)

Positions per freelancer
14 (Germany: 11)

Top business areas
Information Technology, Business Intelligence, Finance

Top industries
Information Technology, Retail, Insurance

Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100% (Germany: 95%)
Master's degree or higher
73% (Germany: 67%)
Doctorate
9% (Germany: 11%)

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 19 Sep 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
ETL experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Information Technology (81%)
- Retail (56%)
- Insurance (50%)
- Professional Services (50%)
- Telecommunication (44%)
- Chemical (38%)
- Education (38%)
- Energy (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
ETL fundamentals
ETL stands for extract, transform and load. It moves data from operational sources into a structured destination such as a data warehouse, lake or reporting store. During the process, information is selected, cleaned, converted and validated so teams can use it consistently.
Typical workloads
ETL supports recurring data flows across finance, retail, logistics, manufacturing, healthcare and online services. Common assignments include:
- Consolidating ERP, CRM and billing data
- Preparing datasets for reporting and business intelligence
- Migrating legacy databases into cloud platforms
- Building scheduled feeds for analytics and compliance
Tools and ecosystem
The ecosystem includes relational databases, APIs, files, message queues and cloud storage. Specialists may work with Apache Airflow, dbt, Talend, Informatica, SSIS, AWS Glue, Azure Data Factory or Google Cloud Dataflow. SQL, Python, data modelling, orchestration and cloud security often sit alongside ETL work.
When expertise matters
Companies bring in freelance ETL expertise when pipelines are unreliable, reporting data conflicts or a platform migration is underway. External specialists can map unfamiliar source systems, define transformation rules and document dependencies without slowing internal teams. In Dusseldorf, remote collaboration is common, while regulated or operational environments may require planned on-site work.
Reliable pipeline design
Strong professionals treat data movement as a controlled production system. They design incremental loads, handle late or duplicate records, preserve lineage and create recovery paths for failed runs. They also separate configuration from code, protect sensitive fields and make pipeline behaviour visible through logs, alerts and monitoring.
Choosing a specialist
Look for evidence of complete delivery rather than familiarity with one tool. A capable ETL specialist can explain source-to-target mappings, test transformations, manage schema changes and measure data quality. Ask how they approach ownership, documentation, deployment and handover, and expect clear communication in the languages required by your distributed team.
Frequently asked questions
Before you brief your next project: the most common questions about ETL.
ETL is used to extract data from sources, transform it into a consistent format and load it into a warehouse, lake or other destination. Companies use it for reporting, analytics, migrations, operational feeds and regulatory data preparation.
Extract, transform and load applies transformations before data reaches its destination. ELT loads raw data first and transforms it inside the target platform, which can suit scalable cloud warehouses; the right choice depends on data volume, governance, latency and available processing capacity.
A strong ETL specialist often brings SQL, data modelling, Python, API integration and database knowledge. Experience with orchestration, cloud storage, testing, observability, access control and business intelligence makes delivery more complete.
The required experience depends on source complexity, data sensitivity, pipeline frequency and the number of systems involved. For a small, well-documented flow, focused delivery may be enough; complex migrations need someone who has handled lineage, reconciliation, failures and changing schemas.
Yes, most ETL work can be delivered remotely through secure access, shared documentation and scheduled reviews. On-site collaboration can still help with workshops, legacy systems or teams that handle sensitive operational data, while German or English communication should match the project.
Common ETL tooling includes Apache Airflow, Talend, Informatica, SSIS, AWS Glue, Azure Data Factory and Google Cloud Dataflow. The best choice depends on the existing warehouse, cloud environment, orchestration needs, governance model and team skills.
Review whether ETL deliverables include source-to-target mappings, automated tests, reconciliation checks, lineage, alerts and recovery procedures. Ask the specialist to explain how they handle duplicates, missing records, schema changes, sensitive data and a failed production run.
Before starting ETL work, clarify source owners, target definitions, refresh expectations, access limits, data quality rules and acceptance criteria. Also confirm who owns deployment, monitoring, incident response and documentation after handover.
The average hourly rate of freelancers in Dusseldorf, Germany who have used ETL in their recent projects is 95 €, which corresponds to a daily rate of about 761 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used ETL in their recent projects, 100% hold at least a Bachelor's degree, 73% hold at least a Master's degree, and 9% hold a doctorate.
On average, freelancers in Dusseldorf, Germany who have used ETL in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers in Dusseldorf, Germany who have used ETL in their recent projects are German (94%), English (94%), and French (13%).
The most common industries among freelancers in Dusseldorf, Germany who have used ETL in their recent projects are Information Technology (81%), Retail (56%), and Insurance (50%).
The most common business areas among freelancers in Dusseldorf, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (88%), and Finance (50%).
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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