Exasol Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used Exasol
Mansharan K.
Last position:
MS Fabric | Power BI Consultant at Gropyus Technologies GmbH
- Architected an enterprise Fabric-based data-product governance framework, authoring data contracts and schema-validation KPIs to enforce completeness, freshness and SLA standards across reporting data products.
- Operationalized pipeline observability by integrating Dagster orchestration data into automated data-health reporting, proactively validating data integrity and pipeline reliability before production reporting layers refresh.
- Established BI-as-Code and end-to-end governance through Git-based version control, CI/CD and Alpha→GA release management, strengthening lineage, schema-drift detection and production change traceability.
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
Gyan P.
Last position:
Senior DevOps & Cloud Architect, Head of Infrastructure at Bosch
- Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
- Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
- Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
- Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
- Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
- Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
- Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
- Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
- FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
- Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.
Serge K.
Last position:
Data Scientist & 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
- Development of feature store and data synchronization between environments
- Data science: evaluation of different forecasting models, including CatBoost, Contextual Gamma and Random Forest; implementation of training pipelines using Kubeflow on Vertex AI; scaling and development of an event-driven interface using Kafka as a forecasting service; evaluation of MLFlow for model tracking and model registry
- Implementation of REST API using KeyCloak OAuth2 and OpenID (JWT)
- Monitoring: implementation of dashboards with Grafana, Prometheus, Mimir, Streamlit and Loki to monitor prediction metrics, GCP and Snowflake costs for pipelines, and system metrics
- Development of Copilot Agent Skills
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
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
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.
Gabriele S.
Last position:
Founder and Managing Director at RS-Analytics GmbH
Discover over 15,000 top freelancers
Statistics of experts using Exasol
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
2.5 years
Positions per freelancer
16
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Business Intelligence, Project Management
Bachelor's degree or higher
92%
Master's degree or higher
69%
Doctorate
15%
Certifications per freelancer
2
Most common languages
German, English, French
Speak two or more languages
81%
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 Germany 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 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 29 Oct 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 (88%)
- Banking and Finance (81%)
- Professional Services (69%)
- Retail (63%)
- Insurance (50%)
- Manufacturing (50%)
- Automotive (38%)
- Healthcare (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Analytical database
Exasol is a high-performance, columnar in-memory database designed for analytical workloads. It supports complex SQL queries across large datasets and helps teams turn governed data into reports, dashboards and business insights. Companies use it for data warehousing, business intelligence and advanced analytics rather than routine transactional processing.
Core workloads
Exasol fits projects that need fast exploration of structured and semi-structured data. Typical deliverables include:
- Enterprise data warehouses and analytical marts
- Executive dashboards and self-service BI models
- Customer, sales and financial analytics
- Marketing attribution and forecasting datasets
- Query performance improvements for reporting workloads
Ecosystem and tooling
Strong Exasol work combines SQL with data integration, modelling and governance. Specialists often connect Exasol to Power BI, Tableau, Qlik, Looker or other BI tools, while pipelines may use dbt, Python, Airflow, cloud storage and enterprise ETL products. Knowledge of JDBC, ODBC, REST interfaces, Git-based delivery and role-based access control is also useful.
When expertise matters
Companies bring in freelance Exasol expertise when a warehouse has slow queries, unclear data models or an urgent migration requirement. A specialist can assess workload patterns, redesign tables and joins, configure ingestion, and establish repeatable testing. In Germany, collaboration may involve remote delivery across teams as well as on-site workshops for data governance or stakeholder alignment.
Project delivery
A focused engagement can cover discovery, architecture, implementation and handover. The professional should clarify source systems, data freshness, concurrency, security and reporting priorities before changing the database. They may also document SQL conventions, automate deployment and train internal teams to operate the resulting environment.
Strong specialists
The best Exasol professionals understand both database internals and the business questions behind a model. Look for evidence of dimensional modelling, SQL optimisation, workload management, data quality controls and BI integration. They explain trade-offs clearly, measure improvements with representative queries and leave maintainable structures rather than isolated fixes.
Frequently asked questions
Quick answers to the questions that come up most around Exasol.
Exasol is used for fast analytical queries, enterprise data warehousing, reporting and business intelligence. It can consolidate data from operational systems and make it available for dashboards, ad hoc analysis and advanced analytical workloads.
Exasol is a specialised analytical database that can be deployed in different environments, while services such as Snowflake, BigQuery and Amazon Redshift are typically consumed as cloud-managed platforms. The right choice depends on deployment control, workload patterns, integration needs, governance and operating preferences.
A strong Exasol specialist usually combines advanced SQL with data warehouse modelling, ETL or ELT design and query tuning. Experience with dbt, Python, orchestration tools, BI products, Git workflows and access controls can make delivery more effective.
A small reporting change may need focused Exasol knowledge, while a warehouse migration or performance programme calls for broader delivery experience. The professional should have handled workloads resembling yours and be able to explain the reasoning behind modelling, partitioning and optimisation decisions.
Yes. Exasol work is often suitable for remote collaboration because access, SQL development, documentation and testing can be managed online. On-site sessions in Germany may still help with architecture workshops, sensitive data processes or coordination across business teams.
Exasol commonly supports integrations with tools such as Power BI, Tableau, Qlik and Looker through standard database connectivity. The specialist should validate driver compatibility, semantic models, refresh behaviour and query performance for the chosen reporting environment.
Ask how the Exasol professional investigates slow queries, validates data quality and measures a change before recommending it. Good answers cover representative workloads, execution plans, concurrency, governance and documentation, not only isolated benchmark results.
Before starting with Exasol, clarify the data sources, target users, refresh expectations, security model and existing BI connections. It also helps to understand whether the assignment concerns new modelling, migration, operational support or performance improvement, since each requires a different delivery approach.
The average hourly rate of freelancers in Germany who have used Exasol in their recent projects is 106 €, which corresponds to a daily rate of about 848 € based on an 8-hour working day.
Of the freelancers in Germany who have used Exasol in their recent projects, 92% hold at least a Bachelor's degree, 69% hold at least a Master's degree, and 15% 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 2.5 years.
The most common languages among freelancers in Germany who have used Exasol in their recent projects are German (100%), English (81%), and French (31%).
The most common industries among freelancers in Germany who have used Exasol in their recent projects are Information Technology (88%), Banking and Finance (81%), and Professional Services (69%).
The most common business areas among freelancers in Germany who have used Exasol in their recent projects are Business Intelligence (100%), Information Technology (94%), and Product Development (69%).
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
