ETL Expert in Nuremberg
for reliable data pipelines, matched in minutes with vetted and available freelancersHire experts who design dependable Extract, Transform, Load workflows, connect warehouse and business systems, and improve data quality across reporting environments. FRATCH matches you quickly and precisely with vetted, available freelancers for your ETL project.
Meet FRATCH Experts in Nuremberg, who have recently used ETL
Oleg O.
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Leif S.
Last position:
Software Architect at QualityMinds GmbH
- Lead software architect and technical team lead for a new logistics platform for load carrier trade
- Core design of software architecture using arc42 spanning frontend, backend, delivery strategies and cloud native infrastructure with Domain Driven Design and Hexagonal Architecture
- Evaluation of initial business requirements and software development roadmap
- Technical team lead in a Scrum team of 9 people
- Introduced and strengthened AI-assisted (JetBrains AI & GitHub Copilot) and collaborative code development strategies to speed up feature development
Michael F.
Last position:
Freelancer, Solution Architect at Schufa AG
- Helped to design the AWS infrastructure, integrated services and backend architecture for use cases of an on-premise solution and partial migrations to AWS with fast response times
- Implemented automated AWS integration test suites
- Implemented mission-critical components and delivered them before the deadline in a production-ready state with operation and monitoring concepts
- This 2-month subproject was about building a data-intense pipeline (5 TB) to be enriched continuously with data
- Designed and implemented reusable AWS CDK constructs to be used across the company’s teams to enable faster onboarding with AWS
- Coached on AWS topics, distributed software patterns, security, domain-driven design, agile collaboration and documentation to improve performance and collaboration
- Technologies: AWS, GitHub Actions, ETL, monitoring, operations, TypeScript, Python, AWS CDK, CloudFormation, Java, Docker, AWS ECS, AWS Lambda, serverless, Jenkins, DevOps principles
Vladimir E.
Last position:
Technical Project Manager / Freelancer at Deutsche Bank
- Engaged within the Information and Security Management division for a Proof of Concept (PoC) project focused on developing a Client Security Portal.
- Managed project resources across the UK, India, and Germany.
- Architected and deployed the PoC solution leveraging a modern Java stack, Google Cloud Platform (GCP) with Kubernetes, and Active Directory (Entra ID) for authentication.
- Implemented OAuth 2.0 for authorization.
- Ensured DORA alignment according to Deutsche Bank security rules and regulatory preparation.
Arun Sai T.
Last position:
AI-Backend Developer Intern at Calvergy UA
- Integrated complex AI-based energy system models into the frontend framework, enabling the visualization of insights for 6+ key clients and maximizing energy utilization.
- Maximized energy efficiency and utilization by architecting the seamless data flow between AI models and the user interface for rapid, actionable reporting.
Elnazossadat H.
Last position:
Data Analyst at Siemens Healthineers
- Developed KPI dashboards using Power BI and DAX for 4+ business units, improving reporting transparency and strategic decision support.
- Migrated enterprise finance data views into dbt models, implementing modular SQL transformations, version-controlled data pipelines, and automated documentation to create a scalable analytics layer.
- Built dimensional data models in Snowflake for enterprise finance data, enabling scalable forecasting and supporting executive decision-making.
- Designed end-to-end ETL/ELT pipelines using Snowflake and SAP HANA, integrating data from 3+ enterprise systems.
- Automated monthly reporting workflows using SQL and Power BI, delivering strong business impact by reducing manual effort by 80%.
- Collaborated with finance stakeholders to translate business requirements into analytical data models, supporting strategic decision-making cycles.
- Delivered ad-hoc financial reports using Power BI, reducing turnaround time by 60%.
- Implemented data validation logic in SQL, resolving 95% of recurring data quality issues.
Tim S.
Last position:
Freelance Business Intelligence Consultant at Self-employed
- Ongoing support for a Lucanet project in Hamburg (logistics/financial market)
- Consulting on budgeting topics
- Consulting on fixed asset accounting issues
- Support with analyses
- Implementation of Lucanet at a customer near Munich (retail/building materials)
- Support with the initial setup
- Preparation of Excel data imports
- Development of an SQL interface to Navision data
- Ongoing support for a Lucanet project in Munich (pharmaceuticals/medical)
- Data output to SQL Server
- Support and consulting in setting up legal consolidation
- Ongoing support for a Lucanet project in Cologne (publishing)
- Preparation of Excel imports
- Support with the initial setup (project restart)
- Ongoing support for a Lucanet project in Ludwigsburg (chemicals, printing inks, hobby paints)
- Connecting Lucanet to an existing data warehouse solution (SQL)
- Ongoing support for a Lucanet project in Bad Staffelstein (solar industry)
- Connecting Lucanet to an existing data warehouse solution (SQL)
- Connecting the Lucanet Reporting Package
- Support and consulting in setting up legal and management consolidation
- Ongoing support for a Lucanet project in Zeven (transport and logistics)
- Administration of the existing Lucanet solution
- Connecting the Lucanet Reporting Package
- Support and consulting in setting up legal and management consolidation
- Support with planning and forecasting
- Implementation of Lucanet at a customer in Luxembourg (retail)
- Installation and setup
- Support with the initial setup
- Preparation of Excel/DWH interface data imports
- Implementation of Lucanet at a customer in Nuremberg (manufacturing)
- Support with the project restart
- Design of reporting and planning
- Setup of import packages
- Lucanet in-house consultant at an international software group with a focus on M&A
- Consulting and support for the group holding company and business units regarding the implementation, rollout and operation of the Lucanet Disclosure Management solution
- Implementation of Lucanet at a customer in Wassertrüdingen
- Database setup and configuration
- Connecting source systems using Lucanet interfaces
- Preparation of consolidated financial statements
- Support with the consolidation process
- Support with the reporting process
- Support for Lucanet at a customer in Stuttgart
- Support with the consolidation process
- Support with the reporting process
- Support with the planning process
- Sparring partner for the specialist department
- Support for Lucanet at a customer in Landau
- Implementation of cost center allocation in Lucanet
- Support with the consolidation process
- Support for a Lucanet carve-out for a customer in Waldstetten
- Database setup and configuration
- Design and implementation of BI software at a staffing services provider in Nuremberg
- Connecting various source systems
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Ongoing support and further development
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of BI software at an elevator company in Nuremberg
- Connection to Navision BC
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Based on: Cubeware Importer, SQL Server
- Design and implementation of BI software at a logistics company in Leipzig
- Connection of various source data
- Development of data warehouse and ETL processes
- Creation of several cubes and data marts
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of BI software at a corporate group in Freilassing
- Connection of various source data
- Development of data warehouse and ETL processes
- Based on: Cubeware Importer, SQL Server, TM1
- Design and implementation of a new reporting environment based on SQL Server and Power BI
- Best practice consulting for the creation of a data warehouse
- Support with report creation in Power BI
- Support with transforming an existing DWH solution to SAP BW
- Analysis and documentation
- Ongoing consulting on processes
- Support with designing BW/SAC models
- Reporting in SAC
- Rebuilding the BI environment at an international company from Berlin (manufacturing/retail)
- Connecting SAP BO to the new DWH (SSIS)
- Creation of tabular model cubes (SSAS)
- Creation of reports and KPIs
- User training
Ralph N.
Last position:
AI Lead Engineer Car Configurator for leading German premium manufacturer at e-ntegration GmbH
- Intent-driven approach to configure all models across all series automotive in all distribution markets of this car manufacturer
- Developed a customer-facing, conversation-driven integration layer to achieve 100% hallucination-free technical configurations
- Utilized Microsoft Azure AI Services: AI Foundry, Agent Service, AI Search; Prompt Shield Services; Content Security; Terraform; API Gateway; AI Gateway; Container Services; Azure Agent SDK; Agent Skills; RAG; MCP Servers and tools
Vasuraj B.
Last position:
Cloud Data Analyst at Bhatia Reply
- Analyzed 50K+ customer records using SQL and Python in a cloud services firm, identifying trends
- Designed interactive Tableau dashboards for sales and marketing stakeholders, reducing report
- Developed ARIMA and AutoARIMA time series models to forecast AWS resource utilization, cutting
- Automated ETL pipelines with Python, improving workflow efficiency by 20% for scalable data
- Collaborated with DevOps teams to deploy 3 machine learning models in production using Docker
Ekaansh K.
Last position:
Master thesis - LLM powered RAG System at Friedrich-Alexander-Universität Erlangen-Nürnberg
- Developed a RAG system to automate student queries with 96% accuracy, built using FastAPI and LangChain and deployed on the university server with Docker.
- Evaluated performance using RAGAS, comparing LLMs (Llama3.3, Llama3.1, GPT-4o-mini), vector embeddings, and various retrieval techniques within the RAG pipeline.
- Technical Skills: Python, FastAPI, Docker, AWS, LangChain, LangSmith, NLP, HTML, CSS
Guino N.
Last position:
Senior Data Engineer at Infomotion
- Built a data analytics platform for Karl Storz
- Developed all ETL processes in a generic way
- Prepared and supplied data in Databricks Delta tables for use in Databricks Machine Learning
- Technologies & Tools: Azure Data Factory, CI/CD pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 17 years)
Position duration
2.2 years (Germany: 5.2 years)
Positions per freelancer
11
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Business Intelligence, Information Technology, Product Development
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, Spanish
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 Nuremberg 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 Nuremberg 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 (100%)
- Automotive (73%)
- Banking and Finance (73%)
- Professional Services (55%)
- Healthcare (45%)
- Transportation (45%)
- Manufacturing (45%)
- Energy (27%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
ETL fundamentals
ETL stands for Extract, Transform, Load. It moves data from operational sources into a target system such as a data warehouse, while applying rules for cleaning, validation, mapping and enrichment. Companies use it to create consistent information for reporting, analytics, finance and operational decisions.
Typical data flows
ETL workflows connect structured and semi-structured sources across an organisation. Common deliverables include:
- Pipelines from databases, APIs, files and business applications
- Staging areas and warehouse loading processes
- Mapping rules, deduplication and format conversion
- Scheduling, monitoring and failure recovery
Tools and ecosystem
The right approach depends on data volume, latency, governance and the target architecture. Specialists may work with Talend, Informatica, Pentaho Data Integration, SSIS, Apache NiFi or cloud services such as AWS Glue and Azure Data Factory. SQL, Python, REST APIs, orchestration tools and warehouse technologies often form part of the surrounding stack.
When expertise helps
Companies bring in freelance ETL expertise when a migration, reporting programme or system integration is blocked by inconsistent data. It is also valuable when existing pipelines are slow, difficult to monitor or dependent on manual steps. In Nuremberg, remote collaboration can support local businesses while on-site workshops may help align teams, source owners and stakeholders.
Quality signals
Strong professionals define source-to-target mappings before implementation and make transformation rules easy to test. They build clear logging, alerts, restartable loads and reconciliation checks into the workflow. They also document data lineage, ownership and assumptions so that future changes do not create silent reporting errors.
ETL or ELT
ETL transforms data before loading it into the target environment, while ELT loads raw data first and transforms it inside a warehouse or lakehouse. Neither pattern is universally better: the choice depends on processing capacity, privacy requirements, tooling and the need for raw historical data. Experienced specialists can assess both options and explain the trade-offs in practical terms.
Frequently asked questions
Everything clients usually want to know about ETL, in one place.
ETL is used to extract data from sources, transform it into a consistent structure and load it into a warehouse, lake or reporting database. Companies rely on it for analytics, financial reporting, data migration, master data processes and system integration.
ETL transforms data before loading it, whereas ELT loads raw data first and performs transformations in the target platform. ETL can suit controlled warehouse processes and strict pre-load validation, while ELT often fits scalable cloud analytics environments.
A strong ETL specialist usually works confidently with SQL, data modelling, APIs, source-system analysis and warehouse design. Experience with orchestration, Python, testing, monitoring and data governance is also valuable when pipelines support critical reporting.
The required level depends on the number of sources, transformation complexity, compliance needs and target architecture. A focused pipeline may need a specialist for a defined implementation, while a migration or enterprise warehouse benefits from someone who can analyse dependencies, risks and long-term operating needs.
ETL work is often well suited to remote collaboration because source analysis, pipeline development and testing can happen through shared environments. On-site sessions in Nuremberg can still help with workshops, access decisions and discussions with teams responsible for business data.
Ask for examples of documented mappings, validation rules, monitoring and recovery procedures. A capable ETL professional should explain how they prevent duplicates, detect incomplete loads, protect sensitive data and make results traceable from source to target.
ETL projects may use Talend, Informatica, Pentaho Data Integration, SSIS, Apache NiFi, AWS Glue or Azure Data Factory. The tool matters less than its fit with the sources, target platform, orchestration model, security requirements and skills already present in the organisation.
Define the source systems, target structures, transformation rules, data owners, refresh needs and acceptance checks. For ETL, it is equally important to agree how errors, schema changes, retries, audit trails and ongoing support will be handled.
The average hourly rate of freelancers in Nuremberg, Germany who have used ETL in their recent projects is 96 €, which corresponds to a daily rate of about 766 € based on an 8-hour working day.
Of the freelancers in Nuremberg, 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 Nuremberg, Germany who have used ETL in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.2 years.
The most common languages among freelancers in Nuremberg, Germany who have used ETL in their recent projects are German (100%), English (100%), and Spanish (18%).
The most common industries among freelancers in Nuremberg, Germany who have used ETL in their recent projects are Information Technology (100%), Automotive (73%), and Banking and Finance (73%).
The most common business areas among freelancers in Nuremberg, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (91%), and Product Development (82%).
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.
Berlin 
Hamburg 
Munich 
Cologne 
Frankfurt 
Dusseldorf 
Essen Countries:
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FRATCH CEO
