ETL Experts in Nuremberg
matched in minutes by AIHire experts who design extraction, transformation and loading workflows, connect business systems and improve warehouse data quality. FRATCH matches you quickly with vetted, available freelancers whose skills fit your ETL project.
Meet FRATCH Experts in Nuremberg, who have recently used ETL
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.
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
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.
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
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.
Guino N.
Last position:
Senior Data Engineer at Infomotion
- Building a Data Analytics platform for Karl Storz
- Generic development of all ETL processes
- Preparing and providing data in Databricks Delta tables for reuse in Databricks Machine Learning
- Technologies & Tools: Azure Data Factory, CI/CD Pipeline with GitHub DevOps, Python, Azure Databricks (Unity Catalog), T-SQL
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
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
2.3 years (Germany: 5.2 years)
Positions per freelancer
10 (Germany: 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
70% (Germany: 68%)
Doctorate
10% (Germany: 11%)
Certifications per freelancer
2 (Germany: 3)
Most common languages
German, English, Spanish
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Nuremberg are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging 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 29 Oct 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 (70%)
- Banking and Finance (70%)
- Healthcare (50%)
- Professional Services (50%)
- Transportation (40%)
- Manufacturing (40%)
- Energy (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What ETL does
ETL stands for Extract, Transform, Load. It moves data from operational sources into a target system such as a data warehouse, while cleansing, standardising and validating it along the way. Companies use it to create consistent information for reporting, analytics, finance and operations.
Typical data flows
ETL specialists work across varied sources and destinations. Common deliverables include:
- Pipelines from ERP, CRM, APIs, files and databases
- Warehouse loads for reporting and business intelligence
- Data cleansing, deduplication and schema mapping
- Scheduled or event-driven integration workflows
- Reconciliation checks and failure notifications
Tools and ecosystem
The work may involve SQL, Python, Java or Scala, alongside orchestration and integration tools such as Apache Airflow, Talend, Informatica, SSIS, dbt and Apache Spark. Strong specialists also understand cloud storage, relational databases, APIs, message queues and warehouse technologies such as Snowflake, BigQuery or Amazon Redshift. The right stack depends on data volume, latency, governance and existing systems.
When to bring in expertise
Freelance ETL expertise is useful when a warehouse migration, reporting programme or system replacement creates complex integration work. Companies also engage specialists when existing jobs are slow, unreliable or difficult to monitor. In Nuremberg, professionals may support local manufacturing, logistics, healthcare or financial operations while collaborating remotely with distributed teams. Clear documentation and German or English communication can be important for on-site and hybrid work.
Quality signals
Reliable ETL work starts with clear data contracts and traceable transformations. Strong professionals define source-to-target mappings, protect sensitive fields, design incremental loads and make pipelines restartable. They add tests for completeness, accuracy and schema changes, then provide monitoring, alerts and documentation that other teams can maintain.
ETL or ELT?
ETL transforms data before loading it into the target system. ELT loads raw data first and performs transformations inside a modern warehouse or lakehouse. A capable specialist can assess both approaches, including batch versus streaming, SQL-based transformations versus code, and operational cost, performance and governance before recommending an architecture.
Frequently asked questions
Everything clients usually want to know about ETL, in one place.
ETL is used to extract data from systems such as ERP software, CRM tools, databases and APIs, transform it into a consistent structure, and load it into a warehouse or reporting store. It supports trusted dashboards, operational reporting, migrations and cross-system analysis.
ETL transforms data before loading it into the target, while ELT loads raw data first and transforms it within a warehouse or lakehouse. ETL can suit controlled, structured workflows, whereas ELT often fits scalable cloud analytics. The choice depends on governance, latency, processing capacity and the existing data platform.
ETL work benefits from strong SQL, data modelling, Python or Java, database administration and API integration skills. Experience with orchestration, cloud storage, warehouse design, testing, monitoring and data governance also matters. Familiarity with tools such as Airflow, Spark, Talend, Informatica or dbt can be relevant to the project.
ETL project needs vary with source complexity, data quality and delivery risk rather than a fixed amount of experience. A straightforward batch pipeline may need a specialist who can work independently with the chosen tools, while a regulated migration or multi-source warehouse requires proven design, testing and recovery skills.
ETL work is often suitable for remote collaboration because specialists can access repositories, cloud environments and documentation securely. On-site sessions in Nuremberg may still help with source-system discovery, stakeholder workshops or access controls. Agree on communication language, working hours, credentials and release procedures before the project begins.
A strong ETL professional can explain source-to-target mappings, transformation rules, data quality checks and failure handling in clear terms. Ask how they test incremental loads, manage schema changes, protect sensitive data and monitor pipeline health. Good documentation and a maintainable handover are important quality signals.
ETL traditionally describes scheduled or batch processing, but modern integration work can include near-real-time flows. A specialist may combine streaming tools, change-data capture, message queues and micro-batch processing when immediate updates are needed. The design must account for ordering, duplicates, retries and monitoring.
Before engaging an ETL freelancer, document the source systems, target platform, expected refresh pattern, data owners and key business rules. Also clarify access, security requirements, existing tools, acceptance tests and handover needs. This gives the specialist a reliable basis for estimating the work and choosing the right approach.
The average hourly rate of freelancers in Nuremberg, Germany who have used ETL in their recent projects is 93 €, which corresponds to a daily rate of about 742 € 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, 70% hold at least a Master's degree, and 10% 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 2.3 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 (20%).
The most common industries among freelancers in Nuremberg, Germany who have used ETL in their recent projects are Information Technology (100%), Automotive (70%), and Banking and Finance (70%).
The most common business areas among freelancers in Nuremberg, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (90%), and Product Development (80%).
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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Philipp Thomaschewski
FRATCH CEO
