Exasol Experts in Germany
for high-performance analytics, matched in minutes with vetted and available freelancersHire experts who design Exasol data warehouses, optimize SQL workloads and connect BI tools such as Tableau or Power BI. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your technical needs.
Meet FRATCH Experts in Germany, who have recently used Exasol
Emanuel F.
Last position:
Interim Architect & Data Taskforce at Freelancer / Project Assignments
- Data Engineering: Design and implementation of scalable data pipelines
- Legacy migrations to Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines)
- BO Universe migrations to MS Fabric / Semantic Models / Power BI
- Taskforce for data-driven transformation projects involving Azure Fabric / Oracle / MSSQL
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
Matthias W.
Last position:
Freelance Consultant Business Intelligence (Self-employed) at mw-consult.it
Data Engineering
Business Analyst
Consulting
2025 – present
Data Engineer & Architect
- Azure Data Factory
- Azure Databricks (PySpark)
- PowerBI Service
Lead developer for the further development of the Modern Data Warehouse, as well as Power BI reports and data models based on the ERP systems Amparex and EyeOffice. Focus on topics for the marketing department with data connection via API to Amplitude and Klaviyo with Python
- 2024 – present
Data Engineer & Architect
- SQL Server (T-SQL)
- SSIS (ETL)
- SSAS Tabular
- PowerBI Report Server
- Atlassian Jira & migration to Azure DevOps with GIT (KANBAN)
Development of Power BI reports and data models based on Infor LN ERP data after migration from Baan, including the underlying data structures with Microsoft SQL Server for further development of the Data Warehouse
Consulting for controlling on the specification of business requirements and development of reporting solutions
- 2025 – 06.2025
Data Engineer & Architect
- PowerBI Dataflows
- PowerBI Service
Cloud migration of the Data Warehouse, as well as Power BI reports and data models from Microsoft Dynamics BC 2021 to Microsoft Dynamics BC Cloud, including migration of the underlying data structures from Microsoft SQL Server to Power BI Dataflows
- 2022 – 06.2024 (ongoing support for data engineers)
Data Engineer & Architect
- SQL Server (T-SQL)
- SSIS (ETL) & BIML
- SSAS Tabular
- Azure DevOps with GIT (SCRUM)
Development of analytical models based on Microsoft Dynamics BC 2021 in combination with data from the company's own MariaDB database, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse. Merging of the ERP systems BC 2021 and DATEV in the Data Warehouse
Consulting for business users on the specification of business requirements and coaching of developers for the development of reporting solutions
- 2022 – 08.2023
Business Analyst & Interim Manager
- PowerBI Service
- Azure Databricks (PySpark)
- Atlassian Jira (SCRUM)
Project management for reporting solution requirements, as well as development of Power BI reports and data models with data from Azure Databricks based on SAP R/3, Google Analytics, webshop and CRM with a business focus on customer, sales and marketing
- 2022 – 05.2022
Power BI Specialist
- PowerBI Service
- Azure DevOps with GIT (SCRUM)
Development of Power BI reports and data models based on data from Exasol with a business focus on assortment management in purchasing
- 2021 – present (ongoing support for existing customers)
Power BI Specialist & Data Engineer
- SQL Server (T-SQL)
- SSIS (ETL) & BIML
- PowerBI Service
- Azure DevOps with GIT (KANBAN)
- Azure Functions (Python)
Development of Power BI reports and data models based on abas ERP data, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse.
Synchronization of customer data for Pipedrive CRM via Azure Functions with Python.
Consulting for controlling and management on agile project management, the specification of business requirements and development of reporting solutions
- 2021 – present (ongoing support for existing customers)
Data Engineer & Architect
- SQL Server (T-SQL)
- SSIS (ETL) & BIML
- SSAS Tabular
- Azure DevOps with GIT (SCRUM)
Development of analytical models based on Microsoft Dynamics 365 FO, CS & CRM in combination with Microsoft Dynamics AX 2012 R3, including the setup of the underlying data structures with Microsoft SQL Server to build a Data Warehouse
Concept for the migration of the SQL Server-based Data Warehouse to Microsoft Fabric with planned future implementation and temporary use of a hybrid data architecture for the introduction of Power BI Service during the migration phase
Consulting for business users on the specification of business requirements and development of reporting solutions
Mario T.
Last position:
Project Lead/Manager / Consultant at all-BI GmbH
- Establishing the Microsoft Fabric platform with the company as the central data warehouse and reporting system.
- The company migrated several operational systems including D365 to new version. The new data warehouse is based on a Fabric/Power BI architecture with Azure cloud Entra Authentication.
Tasks Performed:
- Full administrative responsibility for the Fabric platform F64 and F32 capacities, as well as two F8 capacities for development and prototyping.
- Integration of Fabric with Microsoft Entra.
- Data modeling for the data warehouse bronze, silver and gold layers using data modeling tools.
- Star Schema as well as entity relationship modeling.
- Data modeling for data marts and for dimensional modeling and Power BI (semantic model).
- Design of data models for Microsoft SSAS multidimensional and tabular OLAP cubes using DAX and MDX.
- Definition of design patterns for the ETL team for loading OLAP cubes (Tabular and MD), star schemas and data vault structures.
- Planning and managing team of 4 ETL and reporting developers.
- Performance Tuning of Power BI reports, particularly the semantic layer, as well as the Fabric notebooks
- SQL Performance Tuning.
- DB Design for Azure SQL.
- Reporting directly to project senior management.
Label: Power BI, Fabric, Analysis Services (multidimensional and tabular), D365, SSIS, Tabular Editor, SQL Server and Azure SQL, TOAD Data Modeler, DBSchema, Visual Studio Code, DAX Studio, SSMS, Visual Studio, Jira and Confluence.
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Klaus E.
Last position:
Exasolution DBA at Rechenzentrum Innsbruck
- DBA Exasolution Server consulting and migration to version 8
- Analysis of SQL query performance and tuning
- Troubleshooting in batch scripts
- Technologies: Gitlab, EXACloud, EXAOperation, DBeaver, Control M
Yenal Y.
Last position:
Shiny R Development at RadixITS Gbr
- Implementation and mapping of regulatory requirements (CSRD, ESRS) in Shiny dashboards and backend functions
- Design and development of data-driven modules in Shiny incl. ESG metrics and reporting templates
- Integration of data sources (SQL, SAP HANA, APIs, CSV/Excel) via DBI, odbc, httr and readr
- Creation of interactive visualizations with plotly, highcharter and DT (DataTables)
Moritz K.
Last position:
Senior DevOps Engineer GCP at tedi GmbH & Co. KG
- Design and implementation of DevOps and CI/CD practices for data and analytics teams
- Introduction of infrastructure as code with Terraform (IaC)
- Setup and maintenance of GCP user and permission management with Terraform in multi-project environment
- Design and implementation of CI/CD pipelines with GitHub
- Leading and training developer team for the introduction of IaC and CI/CD practices
- Building and optimising database connectors with Apache Arrow for terabyte scale data extraction (Oracle, SAP)
- Optimising data lake storage and warehouse ingest
Matthias L.
Last position:
IT service provider
- Analysis of the data model for a DWH project with the Federal Network Agency
- Analysis of the data model and performance in Oracle
- Performance optimization in Oracle
- Adaptation of the schema model and expansion/optimization of dossiers
- Modeling of an internal finance DWH and development of reports for internal controlling
- Modeling of the stage, core, business, and data mart layers
- Definition of requirements for the ETL colleagues
- Replacement of the existing reporting tool Cubeware with PowerBI
- Building the semantic layer in PowerBI and development of reports
Marco W.
Last position:
Business Analyst / Product Owner at Passenger transport company
- Agile project flow (SAFe)
- Business analyst and acting product owner
- Further development of multiple components and services for an order entry validation
- Requirements management and business analysis for the functionalities to be implemented
- Project size: 98 project members
- Project environment: AWS, SQL database, Java
- Skills used: SAFe, business analysis, requirements analysis, conceptual design, product ownership, stakeholder management, process modeling
Kerstin B.
Last position:
Reporting and analytics for HR at Apobank
- Designing and implementing an interactive evaluation system for top executives to rate core competencies such as goal orientation, team culture, and strategic alignment.
- Integrating control mechanisms to enforce feedback limits and store evaluations in a central system to ensure data integrity.
- Optimizing data processing for personnel development by automating the merging of various information sources for form letters.
- Implementing technical data preparation and analysis for the annual compensation comparison in the financial sector.
- Developing automated processes for data preparation in Excel using Power Query, ensuring data integrity and anonymization according to data protection requirements.
- Automating personnel cost analysis by developing a solution to process data from the Paisy system into an SAP-compatible Excel file.
- Creating test cases, user documentation, and test plans for all developed systems.
- Technologies: Power Query, MS Office 2016 (Word, Excel, PowerPoint), Paisy, SAP, VBA.
Torsten G.
Last position:
Data Vault with Informatica on Oracle at SEFE
- Data Vault modeling and performance improvements in Oracle.
- Requirements process with model-driven Data Vault automation.
- Preparation of business requirements for the price database in the gas and electricity market.
- Sales performance based on Salesforce CRM.
- Tasks: Concept and development.
- Tools used: Informatica, Oracle, DBT, Docker, DataOps, Airflow Workflow, Python Ingestion, Gitlab CI.
Gyan P.
Last position:
Senior DevOps and Cloud Architect at Bosch
- Architected and operated cloud-based data and ML platforms for autonomous driving and parking systems, supporting large-scale (multi PB scale) simulation and vehicle data ingestion.
- Implemented security, compliance, and governance standards across Azure subscriptions and cloud resources.
- Managed GitHub organizations and CI/CD pipelines to improve deployment reliability and developer productivity.
- Contributed to hiring and technical interviews as part of the recruitment panel.
Gabriele S.
Last position:
Founder and Managing Director at RS-Analytics GmbH
Michael K.
Last position:
Expert in Data Warehousing and Business Intelligence at Freelance Consultant
Discover over 15,000 top freelancers
Statistics of experts using Exasol
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.6 years
Positions per freelancer
16
Top business areas
Business Intelligence, Information Technology, Project Management
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Business Intelligence
Bachelor's degree or higher
91%
Master's degree or higher
82%
Doctorate
18%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
80%
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 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 Exasol
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.
Exasol 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 (87%)
- Banking and Finance (80%)
- Professional Services (67%)
- Retail (60%)
- Insurance (53%)
- Manufacturing (47%)
- Automotive (40%)
- Transportation (40%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Exasol at a glance
Exasol is a high-performance, columnar analytical database built for complex queries across large business datasets. It combines massively parallel processing with in-memory execution and compression, making it suited to reporting, dashboards and demanding analytical workloads. Teams can use Exasol as a central warehouse or as part of a broader cloud data platform.
Core use cases
Exasol supports fast analysis where operational systems are not designed for heavy reporting. Common assignments include:
- Building enterprise data warehouses and analytical marts
- Consolidating finance, sales, customer and supply-chain data
- Powering self-service BI and executive dashboards
- Migrating legacy warehouse workloads to a modern platform
- Tuning complex SQL and recurring reporting processes
Ecosystem and tooling
Professionals work with Exasol SQL, schemas, users, roles, transactions and workload management. They connect the database to ingestion and transformation tools such as dbt, Airflow, Informatica or custom pipelines, then expose governed data through Tableau, Power BI, Looker and other BI systems. Experience with cloud infrastructure, APIs, Python and data modelling often adds value.
When companies need specialists
Freelance expertise helps when an Exasol environment must be designed, migrated or stabilized without slowing business reporting. Typical signals include unreliable query performance, unclear data ownership, growing transformation backlogs or a warehouse migration that needs careful validation. In Germany, remote collaboration is common, while workshops with local teams may require German or English communication.
Project deliverables
A specialist may define the target architecture, model facts and dimensions, configure access controls and establish repeatable loading processes. Other deliverables include SQL rewrites, performance baselines, migration runbooks, data-quality checks and documentation for internal teams. Strong professionals connect database decisions to reporting requirements rather than treating tuning as an isolated task.
What strong expertise looks like
Look for professionals who can explain execution plans, distribution choices, compression, joins and workload behavior in practical terms. They should be comfortable tracing a metric from its source through transformation to a dashboard and testing results during migration. Experience with Exasol Cloud or self-managed deployments, monitoring and controlled release practices helps reduce operational risk.
Frequently asked questions
Quick answers to the questions that come up most around Exasol.
Exasol is used for analytical data warehousing, business intelligence and complex SQL reporting. It brings together data from operational systems so teams can explore trends, prepare dashboards and run repeatable analytical workloads without placing the same load on transactional databases.
Exasol is often considered when a company needs strong performance for structured analytical workloads and wants close control over database design and execution. Snowflake and BigQuery emphasize cloud-native elasticity, while Teradata has a long history in enterprise warehousing; the right choice depends on workload patterns, governance, existing skills and infrastructure preferences.
A strong Exasol specialist usually understands SQL optimization, dimensional modelling, ETL or ELT design and data-quality controls. Familiarity with dbt, Airflow, Python, cloud storage and BI tools can make the specialist more effective across the full data flow.
The required depth depends on the assignment. A focused SQL or dashboard task may need a specialist who can work within an existing setup, while a warehouse migration or performance redesign calls for proven experience with architecture, workload analysis, validation and operational handover.
Exasol projects can usually be delivered remotely when access, documentation and data-security processes are prepared in advance. German companies should clarify whether workshops, stakeholder interviews or operational support require on-site availability, and whether communication should be in German, English or both.
Ask the Exasol professional to describe a comparable workload, the cause of a performance issue and how the result was verified. Review the proposed data model, migration plan, testing approach and documentation standards rather than relying only on familiarity with the product name.
Exasol specialists can plan and execute migrations from platforms such as Teradata, Oracle or other analytical databases. The work typically covers schema conversion, SQL compatibility, data transfer, reconciliation, performance testing and a controlled transition for reporting users.
Quality in Exasol work is visible in reliable query behavior, clear models, traceable data and maintainable loading processes. A capable professional documents design decisions, measures results against agreed requirements and leaves the team able to monitor, troubleshoot and extend the environment.
The average hourly rate of freelancers in Germany who have used Exasol in their recent projects is 107 €, which corresponds to a daily rate of about 856 € based on an 8-hour working day.
Of the freelancers in Germany who have used Exasol in their recent projects, 91% hold at least a Bachelor's degree, 82% hold at least a Master's degree, and 18% hold a doctorate.
On average, freelancers in Germany who have used Exasol in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.6 years.
The most common languages among freelancers in Germany who have used Exasol in their recent projects are German (100%), English (80%), and French (33%).
The most common industries among freelancers in Germany who have used Exasol in their recent projects are Information Technology (87%), Banking and Finance (80%), and Professional Services (67%).
The most common business areas among freelancers in Germany who have used Exasol in their recent projects are Business Intelligence (100%), Information Technology (93%), and Project Management (80%).
Main locations of FRATCH Experts, who have recently used Exasol
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
