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Teradata Experts in Germany

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Hire experts who design Teradata data warehouses, optimize SQL and utilities such as TPT and FastLoad, and connect enterprise analytics with cloud platforms. FRATCH finds a precise match quickly from vetted, available freelance professionals.

Meet FRATCH Experts in Germany, who have recently used Teradata

Verified expert

Alexander Z.

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Senior Data Architect & Data Engineer

Berlin
Alexander Z.

Last position:

Senior Data Solutions Engineer at VMware Inc.

  • Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
  • Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
  • Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
  • Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Verified expert

Philipp G.

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Machine Learning & Data Engineer

München
Philipp G.

Last position:

Data Scientist & ML Engineer at Data-Science Factory GmbH

  • Building, implementing and selling automated Data Science solutions such as Scorecard Factory and Forecast Factory
  • Implementation of automated end-to-end cloud processes
  • Development of LLM and NLP models
  • Creation of interactive reports
  • Support for national and international large corporations as well as medium-sized companies in implementing ML projects
Verified expert

Christiane N.

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Management Consultant

Munich
Christiane N.

Last position:

Management Consultant at Christiane Neher Management Consulting

Large Insurance Company – Consultant Wiesbaden: Consulting support for the introduction of an integrated planning and performance management framework (operational, financial, customer) to enhance customer-centric transparency, decision-making quality, and steering capabilities across all lines of business within an insurance organization:

  • Analysis of existing processes, reports, KPIs, and KPI calculation methodologies
  • Design and introduction of new, standardized customer KPIs (gross/net), as well as key steering metrics with consistent linkage across all lines of business
  • Recalculation, validation, and plausibility checks of KPIs based on existing and newly integrated data sources
  • Conceptual support for the development of an integrated reporting and performance management setup
  • Execution of customer insights analyses to identify patterns and anomalies within customer data clusters

Large retail company – Consultant in Karlsruhe: Advisory services for the setup and step-by-step implementation of an internationally deployable RELEX solution in the supply chain management environment:

  • Advising overall and sub-project management on methodology, project setup and steering (e.g. agile approach, Jira configuration, RELEX phases, Jira Structure PPM)
  • Strategic-operational consulting for the introduction of RELEX including best practices
  • Support in defining overarching goals and requirements (2-year target picture)
  • Guidance in scoping a relevant supply chain network segment for the project
  • Development of a roadmap for iterative, incremental RELEX setup and rollout
  • Assessment of project dependencies (interfaces, configurations, etc.)
  • Advice on prioritized implementation of business requirements and data interfaces
  • Support in test planning (data validation, system testing, UAT)
  • Consulting on internationalization, change management, training, and knowledge transfer
  • Stakeholder advisory and alignment activities between the client, implementation partner, and RELEX

Insurance company – Management Consultant in Munich: Analysis, consulting and support for the optimization of a large-scale business and IT transformation. Focus on strategically important programs and modernization projects in the area of Managed Services Operations and processes:

  • Review of project plans and deliverables; analysis of programs and projects (e.g. cloud approach, process standardization, system integration, roadmaps)
  • Identification of technical, functional and personnel risks and challenges; development of content-related measures and alternative solutions
  • Proposal of quality improvements for program and modernization efforts
  • Sparring partner and professional, technical, structural and organizational consulting for project and program management

Large retail group – Management Consultant & Stream Lead in Cologne: Consulting, process, project and product management for the introduction and implementation of a large strategic program in the field of advanced analytics, assortment and space management:

  • Setup, test and rollout of a new space planning, automation and optimization product based on the existing cluster-based merchandising approach
  • Definition and setup of new processes and transformation and change management measures for the new store-specific merchandising approach
  • Collaboration with Advanced Analytics and IT (internal and external) for software implementations, automations, extensions and interfaces
  • MVP approach and piloting in phases with gradual rollout (pilot with 80 stores, region with 500 stores, national level with 4000 stores)

Large retail company – Agile Coach & Change Agent in Cologne: Agile coach, OKR master and facilitator for the introduction of the OKR approach in a large strategic digitization program for retail stores:

  • Coaching of the core team with topic managers and team leads
  • Introduction to the OKR topic and setup of the OKR cycle
  • Establishment of the OKR approach in teams and on a cross-team level

Delivery and logistics company – Management Consultant in United Kingdom: Consulting and coaching in the restructuring of the Data Analytics department:

  • Analysis of current challenges
  • Definition of overarching goals
  • Development of a proposal for a new team structure
  • Identification of required competencies, skills and responsibilities
  • Advisory and alignment on communication and change management strategy
Verified expert

Manoj K.

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Data Analyst Work Student

Saarwellingen
Manoj K.

Last position:

Data Analyst Work Student at Biebelhausener Mühle seit 1647 GmbH

  • Managed and maintained daily sales and transaction data, ensuring data accuracy and integrity for operational reporting and analysis.
  • Analyzed customer purchasing patterns to support inventory planning and improve product availability.
Verified expert

Anshita S.

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Data & Analytics Professional

Berlin
Anshita S.

Last position:

Business Intelligence Developer and Data Analyst at Deloitte Consulting

Specialize in turning complex data from diverse environments into actionable business value through compelling visual storytelling. I am an expert in generating actionable insights and presenting recommendations to business stakeholders. My technical proficiency in SQL, Python, and leading data visualization tools like Tableau and Power BI allows me to deliver a new generation of self-service tools and analytics services.

  • Data Visualization & Storytelling: Created impactful data visualizations and dashboards in Tableau and Power BI, effectively communicating findings and presenting actionable recommendations to C-suite stakeholders and business leaders.
  • Stakeholder Management: Built effective working relationships with key business stakeholders, data engineers, and other partners to achieve common data-driven goals and targets.
  • Insights & Recommendations: Generated actionable insights from complex data analysis for funnel conversion, marketing performance, and ROI, directly influencing business performance and strategy.
  • Data Collaboration & Empowerment: Worked closely with cross-functional teams to support the ongoing data needs of internal partners, helping to optimize internal data processes and workflows.
  • BI & Data Expertise: Applied extensive experience in data modeling, data collection, data mining, and analysis to deliver end-to-end analytical solutions from stakeholder discovery to production.
Verified expert

Ramy S.

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Senior IT Project Manager – Transformation, Integration & Rollout

Langerwehe
Ramy S.

Last position:

Integration Manager at Produktion und Logistik

Senior IT Integration Manager for an international transformation program, focusing on IT integration, data migration, stakeholder management, dependency steering, governance and management reporting.

Bullet points

  • Steering IT integration and transformation activities in an international enterprise environment
  • Coordination between business, IT, specialist departments and external service providers
  • Planning and tracking roadmaps, milestones, dependencies and risks
  • Preparing status reports, decision papers and management updates
Verified expert

Serge K.

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MLOps (machine learning operations)

Munich
Serge K.

Last position:

MLOps (machine learning operations) at REWE Digital GmbH

  • It is like a startup within REWE, where we have to build a new forecasting system on Google Cloud Platform from the scratch. Although, officially my role is called MLOps, my actual tasks also include development of data processing pipelines (data engineering) and data scientists tasks such as feature engineering and model trainings.
  • GCP: Terraform (tofu), Vertex AI (Kubeflow), Cloud Run, IAM, Google Cloud Storage, BigQuery, Artifact Registry
  • Data engineering: Snowflake as the main data warehouse, Terraform, DBT for data model implementations
  • CI/CD: GitLab. We have built a CI/CD pipeline that automates deployments of new releases up to production environment
Verified expert

Monika T.

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Senior Technical Lead

Frankfurt am Main
Monika T.

Last position:

Senior ETL Lead at Takeda GmbH

  • Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
  • Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
  • Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
  • Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
  • Designed scalable data foundations suitable for downstream analytics and AI workloads.
  • Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.
Verified expert

Umut G.

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Freelancer

Frankfurt
Umut G.

Last position:

Data Architect at BA Technology

I am an experienced data engineer specializing in end‑to‑end data integration, cloud DWH architectures, and high‑quality, governed data products.

I delivered following projects and engagements as a freelancer.

  • Data Migration of CRM System for AL-FA Objekt Service Gmbh
  • Microsoft Software Resales Partnership

I am looking for freelance roles like: Freelance Data Engineer Cloud Data Warehouse Architect Data Modeling & Architecture Consultant MDM & Data Governance Specialist BI & Analytics Developer

Technical Focus Areas

  • Data Engineering & Integration: SQL Server/SSIS, Informatica PowerCenter/IDQ, Talend, Kafka, Azure Data Factory – Delta/CDC/ELT patterns, robust pipelines, monitoring/recovery, data lineage & impact analysis, medallion architecture Bronze/Silver/Gold layers
  • DWH & Cloud: Azure SQL / Data Lake / Synapse, AWS Redshift/S3, on‑prem SQL/Oracle – scalable data marts with a strong cost/benefit focus.
  • Data Modeling: Atomic (Inmon) and Dimensional (Kimball), Data Vault (Linstedt), Domain‑Driven Design, clear lineage & contracts.
  • MDM & Governance: Informatica MDM, IBM MDM, stewardship processes, data quality rules, survivorship/XREF, catalog/glossary, SIF/BES/REST publication.
  • Analytics/BI: Power BI, SSAS, Cognos – business‑ready, maintainable data products.
Verified expert

Younes H.

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Senior Backend Developer

Grevenbroich
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
Verified expert

Eric B.

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Quality Manager / Test Manager / Senior Test Analyst / Senior Data Analyst / Statistical Programmer

Kelkheim (Taunus)
Eric B.

Last position:

Quality Assurance Lead (QSV) at Federal Employment Agency

  • Supported the International Web Presence project of the Federal Employment Agency (IntWeb) in quality management, taking on responsibility for the quality of processes and project deliverables while adhering to BA standards. The project's main goals are to give professionals abroad a quick overview of their chances to move to Germany and to enable them to take the necessary steps in a consistently digital way.

  • Set the fundamental guidelines using the QA handbook

  • Summarized test results in QA reports for PLA

  • Analyzed project outcomes for improvement opportunities

  • Quality management of requirements analysis (especially processes, methods and tools)

  • Ensured compliance with SERA guidelines

  • Created a cross-project test concept

  • Agreed on sprint completion reports

  • Conducted formal reviews of deliverables according to guidelines and/or project plan

  • Acted as contact person for internal audit and external audits by auditors or the Federal Audit Office (BRH)

  • Technologies: JIRA, Confluence, MS Office, GitLab, Kubernetes

Verified expert

Dr Daniel S.

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Director of Partner & Alliances, AI Use Cases, EMEA

Düsseldorf
Dr Daniel S.

Last position:

Director of Partner & Alliances, AI Use Cases, EMEA at Teradata Deutschland GmbH / Teradata Corporation EMEA

  • Define EMEA ISV Go-to-Market strategy to push indirect SaaS sales
  • Solve customer problems with AI embedding into new use cases and solutions
  • Build partner ecosystem and sell partner solutions to drive platform consumption
  • Enable cross-functional teams on AI use cases implementation
  • Manage a cross-functional team of 7 FTE
  • Built EMEA partner originated pipeline from scratch with 70 mn€ TCV and 20 mn€ ARR growth sales with cloud-based and hybrid solutions
  • Increased co-sell rate from 20% to 40% and co-delivery rate from 25% to over 50%
Verified expert

Lasya M.

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Data Engineer

Berlin
Lasya M.

Last position:

Data Engineer at Carelon Global Solutions (Elevance Health)

  • Designed and implemented scalable ETL/ELT pipelines using Python, SQL, dbt, AWS and Informatica to ingest data from sources such as APIs, relational databases, and flat files into Snowflake, reducing pipeline runtime by ~30%.
  • Migrated high-volume datasets from on-premises Teradata to Snowflake using AWS services (S3, Glue, Step Functions, IAM), ensuring data consistency and integrity.
  • Applied Kimball methodology to design star and snowflake schemas, improving query performance and reducing Snowflake compute costs.
  • Implemented automated data quality checks using SQL-based dbt tests and the Great Expectations framework to detect anomalies and enforce data correctness before production loads.
  • Orchestrated ETL workflows in Airflow using Python and managed code deployments via Git with CI/CD best practices to increase deployment reliability and maintain pipeline uptime.
  • Built interactive Power BI dashboards and curated datasets to enable data-driven decision-making for stakeholders.
  • Maintained technical documentation in Confluence for ETL workflows, and led knowledge-sharing sessions for new joiners.
Verified expert

Kamran V.

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Agile Delivery Manager

Frankfurt
Kamran V.

Last position:

Agile Delivery Manager at Sparecodes Incorporation

  • Highly successful role as lead data analytics expert at a US consulting startup.
  • Managed stakeholder expectations by ensuring team delivery velocity using Agile and Lean practices.
  • Trained and assembled international offshore data science teams of DevOps engineers, BI developers, and technical support specialists.
  • As Sparecodes' data analytics experts, we improved our clients’ business outcomes through requirements management, dashboard and report development, migration, automation, and production support using IBM Cognos, AWS, SAP, Oracle, Teradata, CRM, ERP, Confluence, and Microsoft.
  • Provided effective coaching and mentoring for international, multicultural teams in a remote environment, covering new tools and techniques, Agile best practices, internal and external communication, and presentation skills.
  • Coordinated technical processes efficiently, including managing and implementing project changes and control processes.
  • Promoted strong team engagement and supported employees’ career development, including business change management through coaching.
  • Enhanced project status reports by providing insights into team productivity, predictability, and backlog burn-down, leading to improved project outcomes.
  • Successfully led the coordination and implementation of software solutions for clients in mechanical engineering, including automation system integration and customization to meet client needs.

Discover over 15,000 top freelancers

Statistics of experts using Teradata

Aggregated from the professional profiles of matched freelancers.

Experience

21 years

Teradata experts in Germany have 21 years of professional experience on average.

Position duration

3.3 years

Teradata experts in Germany stay in a single position for 3.3 years on average.

Positions per freelancer

11

Teradata experts in Germany have completed 11 positions on average over the course of their careers.

Top business areas

Business Intelligence, Information Technology, Product Development

Teradata experts in Germany have gathered most of their hands-on project experience in Business Intelligence, Information Technology, and Product Development.

Top industries

Information Technology, Professional Services, Banking and Finance

Teradata experts in Germany are most in demand in Information Technology, Professional Services, and Banking and Finance.

Certification focus areas

Information Technology, Business Intelligence, Project Management

Teradata experts in Germany earn their certifications most often in Information Technology, Business Intelligence, and Project Management.

Bachelor's degree or higher

96%

96% of Teradata experts in Germany hold at least a Bachelor's degree.

Master's degree or higher

54%

54% of Teradata experts in Germany hold at least a Master's degree.

Doctorate

8%

8% of Teradata experts in Germany have a doctorate (PhD).

Certifications per freelancer

3

Teradata experts in Germany hold 3 professional certifications on average.

Most common languages

German, English, French

Teradata experts in Germany most often speak German, English, and French.

Speak two or more languages

100%

100% of Teradata experts in Germany speak two or more languages.

Based on our profile pool as of 19 Sep 2026.

Daily rate distribution

0 5 10 15 20
2 of the Teradata experts in Germany charge less than €400 per day.
5 of the Teradata experts in Germany charge between €400 and €800 per day.
16 of the Teradata experts in Germany charge between €800 and €1200 per day.
One of the Teradata experts in Germany charges between €1200 and €1600 per day.
One of the Teradata experts in Germany charges €1600 or more per day.
<€400 €400-​800 €800-​1200 €1200-​1600 €1600+

The chart shows how the daily rates of freelancers in this technology in Germany 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 Germany using Teradata

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 820 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 800 €

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.

Teradata 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 (90%)
  • Professional Services (59%)
  • Banking and Finance (48%)
  • Telecommunication (48%)
  • Manufacturing (38%)
  • Energy (34%)
  • Retail (34%)
  • Healthcare (31%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Teradata foundations

Teradata is an enterprise data warehousing and analytics platform built for large-scale relational workloads. It combines a massively parallel processing architecture with SQL, workload management and strong support for governed business data. Companies use it for consolidated reporting, complex analytics and decision-making across many operational sources.

Enterprise data use

Teradata commonly supports customer, finance, supply chain, risk and marketing data. It can bring together structured information from ERP, CRM, billing and transaction systems, then expose trusted datasets to analysts and reporting tools.

  • Build subject-area data warehouses
  • Consolidate high-volume operational data
  • Create governed reporting layers
  • Support recurring and ad hoc analytics

Ecosystem and tooling

Strong professionals work with Teradata SQL, database objects, indexes, statistics and workload management. They may also use Parallel Transporter, FastLoad, MultiLoad, BTEQ and utilities for loading, exporting and operating data. Integration often includes ETL tools, Python, BI suites and cloud services such as Teradata VantageCloud.

When expertise matters

Companies bring in freelance specialists during warehouse migrations, performance investigations, platform upgrades and complex data integration work. Expertise is also valuable when internal teams need a clear model for partitioning, workload priorities, data quality or cost control. In Germany, collaboration may involve distributed teams, on-site workshops or remote delivery across business and IT functions.

  • Diagnose slow queries and inefficient workloads
  • Modernize legacy loading processes
  • Plan migration to VantageCloud or another target environment

Choosing strong professionals

A capable Teradata professional explains design decisions in business terms and can trace a result from source data to report. Look for practical skill with execution plans, statistics, skew, locking, fallback, access controls and recovery procedures. They should also document dependencies, test migration steps and communicate risks before production changes.

Project collaboration

Teradata work often touches data owners, application teams, security specialists and reporting groups, so clear coordination is essential. Remote delivery works well when access, environments and decision paths are prepared; on-site sessions can help with discovery, workshops and sensitive operational changes. The right specialist leaves behind maintainable SQL, reliable runbooks and knowledge the internal team can use.

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Frequently asked questions

The facts hiring teams ask for most often when it comes to Teradata.

Teradata is used to store, integrate and analyze large volumes of structured enterprise data. Typical workloads include financial reporting, customer analytics, supply chain analysis, risk monitoring and executive dashboards.

Teradata has a long track record in governed enterprise warehousing and complex SQL workloads, with strong workload management and parallel processing. Cloud warehouses can offer more elastic infrastructure, so the right choice depends on data gravity, migration effort, operating model, governance and existing skills.

A strong Teradata specialist often works with SQL performance tuning, dimensional modeling, ETL design, data quality and access controls. Experience with Python, BI tools, orchestration, Linux and cloud data services can also make integration work more effective.

The required depth depends on the assignment. Teradata SQL and reporting changes may need focused platform knowledge, while migrations, workload redesign and production recovery require proven experience with architecture, utilities, dependencies and operational risk.

Teradata work can usually be delivered remotely when secure access, test data and clear ownership are available. On-site workshops may still help with discovery, stakeholder alignment or changes to sensitive production processes, and language expectations should be agreed at the start.

A Teradata professional reviews execution plans, statistics, data distribution, joins, partitioning, spool usage and workload rules. They validate changes with representative data and explain the trade-offs instead of tuning a single query in isolation.

Ask whether the specialist has handled source profiling, target modeling, utility changes, reconciliation, testing and cutover planning. Teradata migration quality also depends on documenting SQL differences, security mappings, dependencies and rollback options.

A Teradata freelancer can demonstrate quality through clear SQL, repeatable tests, documented assumptions and measurable acceptance criteria without exposing confidential data. Evidence of handling skew, locking, workload priorities, data lineage and production support is especially relevant.

The average hourly rate of freelancers in Germany who have used Teradata in their recent projects is 103 €, which corresponds to a daily rate of about 820 € based on an 8-hour working day.

Of the freelancers in Germany who have used Teradata in their recent projects, 96% hold at least a Bachelor's degree, 54% hold at least a Master's degree, and 8% hold a doctorate.

On average, freelancers in Germany who have used Teradata in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 3.3 years.

The most common languages among freelancers in Germany who have used Teradata in their recent projects are German (100%), English (97%), and French (31%).

The most common industries among freelancers in Germany who have used Teradata in their recent projects are Information Technology (90%), Professional Services (59%), and Banking and Finance (48%).

The most common business areas among freelancers in Germany who have used Teradata in their recent projects are Business Intelligence (100%), Information Technology (97%), and Product Development (69%).

Main locations of FRATCH Experts, who have recently used Teradata

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 Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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