Data Pipeline Experts in Dusseldorf
in minutes from over 15,000 CVs with the power of AI.Hire experts who design reliable batch and streaming pipelines, build ETL and ELT flows, and connect tools like Airflow, Kafka, dbt, and Spark. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Dusseldorf, who have recently used Data Pipeline
Sarvesh Lunia
Last position:
Data Analytics for Renewable Energy Integration at Harz University
- Created data pipelines and visualization tools to support sustainable energy decision-making
- Developed insights that could optimize renewable energy deployment and grid integration strategies
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
Yasaman Najafi Jozani
Last position:
Research Data Scientist at RWTH Aachen University
- Led large-scale data analysis on high-volume event data, applying statistical modeling and time-series methods to detect weak signals in noisy environments
- Designed and maintained scalable Python data pipelines for real and simulated datasets, optimizing signal detection and background estimation at scale
- Applied advanced statistical inference techniques (likelihood-based modeling, hypothesis testing) to support quantitative decision-making
- Deployed data-processing workflows on HPC clusters using Slurm, enabling parallelized analysis and large-scale batch execution
- Built reproducible, version-controlled data workflows using Python, Bash, and Git to ensure reliability and traceability of results
- Translated complex experimental data into actionable insights, enabling quantitative decision-making
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.
Rishu Kumari
Last position:
Java Technical Lead (Agile Developer) at Accenture
- Led the development of robust, scalable, and high-performance micro-services architecture.
- Migrated legacy monolith systems to Spring Boot with RESTful APIs.
- Designed, implemented, deployed, tested, and optimized scalable backend systems ensuring high availability and performance.
- Maintained and deployed Dockerized applications on Kubernetes integrated into CI/CD pipelines.
- Collaborated with cross-functional teams, including frontend developers, product managers, and designers, to translate business requirements into scalable and efficient backend solutions.
- Mentored team members and contributed meaningful code reviews.
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.
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
Discover over 15,000 top freelancers
Statistics of experts using Data Pipeline
Aggregated from the professional profiles of matched freelancers.
Experience
12 years (Germany: 13 years)
Position duration
1.6 years (Germany: 2.8 years)
Positions per freelancer
6 (Germany: 8)
Top business areas
Business Intelligence, Information Technology, Operations
Top industries
Information Technology, Professional Services, Education
Certification focus areas
Research and Development, Business Intelligence, Information Technology
Bachelor's degree or higher
100% (Germany: 98%)
Master's degree or higher
50% (Germany: 72%)
Certifications per freelancer
1 (Germany: 3)
Most common languages
English, German, Hindi
Speak two or more languages
100% (Germany: 98%)
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 Data Pipeline
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
Pipeline basics
Data pipelines move data from source systems into warehouses, lakes, and analytics tools. They turn raw events, files, and records into usable datasets for reporting, search, operations, and machine learning. Strong specialists keep the flow stable, traceable, and easy to change.
Common stack
- ETL and ELT design for batch and streaming data
- Apache Airflow for orchestration and scheduling
- Kafka and other event streams for near real-time flows
- dbt for transformations, testing, and modeling
- Spark for larger-scale processing jobs
What experts deliver
Freelance specialists usually join when a company needs a new ingestion flow, a broken job fixed, or a cleaner data model. They also help when pipelines must be migrated, documented, or made more reliable. In Düsseldorf, this often fits teams that work with retail, logistics, finance, or industrial data.
Signs you need help
- Loads fail without clear error handling
- Data arrives late, duplicated, or incomplete
- Teams cannot trace where numbers changed
- New sources take too long to connect
- Existing jobs are hard to maintain
What strong specialists do
Good professionals think in data quality, lineage, and recovery paths, not only in scripts. They set up checks, retries, alerts, and clean handovers so the pipeline can survive real production use. They also write code that other specialists can read and extend.
Working model
Companies often bring in freelance expertise for short recovery work, migration projects, or a new platform rollout. Remote collaboration works well for most pipeline tasks, while on-site time can help with access, stakeholder mapping, and source-system discovery. The best specialists communicate clearly with engineering, analytics, and business teams.
Frequently asked questions
Before you brief your next project: the most common questions about Data Pipeline.
A data pipeline moves data from source systems into the tools where teams can use it. It is used for analytics, reporting, operational views, and machine learning inputs. Good pipelines also keep data fresh, consistent, and traceable.
No. Data Pipeline is the broader term for the full flow of data, while ETL is one way to build part of that flow. Many teams now use ELT, streaming ingestion, or mixed patterns depending on the source and target systems.
A strong Data Pipeline setup often includes orchestration, transformation, and messaging tools. Common names include Apache Airflow, Kafka, dbt, Spark, and cloud warehouse services. The right mix depends on whether the work is batch, streaming, or both.
A strong Data Pipeline specialist usually knows SQL, Python, data modeling, and testing. Cloud storage, warehouse design, monitoring, and access control are also important. For larger systems, experience with APIs and event-driven systems helps a lot.
A Data Pipeline project can need only a few focused days if the task is small and well defined. It needs deeper involvement when sources are messy, data volumes are high, or the pipeline must support many teams. The key is proven work on similar systems, not just general coding skill.
Yes. Data Pipeline work is often remote-friendly because most tasks happen in code, configuration, and cloud services. On-site time in Dusseldorf can still help when teams need access to internal systems, workshop time, or close coordination with local stakeholders.
Look for clear handling of failures, tests, logging, lineage, and documentation. A strong Data Pipeline professional can explain why a design was chosen and how it will be maintained. They should also talk about data quality, not only about moving data from A to B.
A Data Pipeline in batch mode moves data in scheduled groups, often for daily or hourly reporting. Streaming pipelines process events continuously, which is useful for live dashboards, alerts, or product behavior tracking. Many modern systems use both.
The average hourly rate of freelancers in Dusseldorf, Germany who have used Data Pipeline in their recent projects is 84 €, which corresponds to a daily rate of about 671 € based on an 8-hour working day.
Of the freelancers in Dusseldorf, Germany who have used Data Pipeline in their recent projects, 100% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Dusseldorf, Germany who have used Data Pipeline in their recent projects have 12 years of professional experience, with a single engagement typically lasting around 1.6 years.
The most common languages among freelancers in Dusseldorf, Germany who have used Data Pipeline in their recent projects are English (100%), German (86%), and Hindi (43%).
The most common industries among freelancers in Dusseldorf, Germany who have used Data Pipeline in their recent projects are Information Technology (71%), Professional Services (57%), and Education (43%).
The most common business areas among freelancers in Dusseldorf, Germany who have used Data Pipeline in their recent projects are Business Intelligence (86%), Information Technology (86%), and Operations (57%).
Main locations of FRATCH Experts, who have recently used Data Pipeline
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 
Essen 
Nuremberg Request a free demo
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Philipp Thomaschewski
FRATCH CEO
