Data Warehouse Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used Data Warehouse
Marco Skulschus
Last position:
Business Analyst, Data Warehouse Developer at NRW.Bank
Business analysis for risk controlling.
Development of a data warehouse based on MS SQL Server with data from the FIS Cross-Asset Trading and Risk Platform (formerly Front Arena).
Implementation of ETL and transformation logic with T-SQL and Python (template engine Jinja2).
Modeling and automation of data structures with Data Vault.
Building reporting and analysis reports with Microsoft Power BI, including training and onboarding of users.
Geoffrey Grigor
Last position:
Lead Researcher at York St John Business School
- Independently designed, conducted, and evaluated a research project examining dynamic management capabilities (DMCs) in the implementation of HR practices at different management levels (top, middle, and frontline management).
- Focus on the strategic role of frontline management in implementing effective HRM measures.
- Self-initiated project with academic collaboration from York St John University, Robert Kennedy College, and the University of Cambridge.
Reinhold Schätz
Last position:
Senior Software Developer at Hitachi Energy
- Support and further development of the Leegoo Builder
- Handling ad hoc requests
- Definition of rules/attributes and their rules
- Optimizing and managing SQL queries
Markus Fankhauser
Last position:
Logistics Expert/Coach at RAPID Technic AG
- Coaching, developing fundamentals and leading technical aspects in logistics transformation
- Extending SAP WM functionalities
- Efficiency measures in shuttle warehouse technology
- Setting up logistics operations reporting
- Comprehensive inventory planning and execution
- Preparing the technical and commercial foundations for cooperation with external logistics service providers
- Recommendations for the future process and organizational structure
Max Rosari
Last position:
ICT Solution Architect Senior at ewb, Energy, Water
- Questioning and discussion of technical requirements and coordination with the team
- Contributing to objectives of the Digital Transformation Services unit and implementation of objectives
- Analyzing, specifying, updating and delivering architecture models to implement digital solutions in line with business, data infrastructure and requirements
- Selecting suitable technical options for application design considering interoperability, reversibility, scalability, usability, accessibility and security and optimizing cost/quality ratio
- Creating and maintaining concept documents, architecture models and other technical documentation
- Reviewing services to be provided and other documents for solution development
- Collaborating with IT enterprise architect, business analyst, project manager, developers, testers and process owner in design and documentation of technical specifications for new and further developments
- Communicating and supporting concepts to relevant stakeholders
- Participating in enterprise architecture activities and ensuring compliance with principles, standards and guidelines
- Monitoring compliance with defined design at application, solution and enterprise level
- Developing and testing existing and new solutions as required
- Supporting and guiding development teams in implementation of new projects or maintenance of existing products, assuming product manager role if required
- Establishing and ensuring best practice in implementation, documentation, testing and packaging for distribution
- Contributing to handling of reported incidents and requests assigned to third level support and follow-up actions as required
Claus Nielsen
Last position:
Oracle Database Engineer at BBV.ch
- Migration of databases from ODA to ExaData
- Migration of databases from ExaData to ExaCC/OCI
- Decreased UCC usage by 10%
- Developing automation scripts using Python
- Performance tuning
- Shrunk development databases from 6 TB to 3 TB using Exadata columnar compression
- Tuned application performance by 30% using inmemory option
- Tuned non-production Exadata by 20% to release CPU resources before ExaCC migration
- Database patching of Oracle 19c
- Basic Ansible scripting for deployments and database cloning
- Developing acconting model for shared Oracle platform
- Migrating single-instance databases to Oracle RAC
- Analysis of RAC issues
- Advising development teams of how to migrate to RAC
Stefan Laager
Last position:
Senior Manager, Project Manager, Auditor and Consultant at Laager Consulting GmbH
Many years of experience in application development, ICT infrastructures, systems management, hardware and software, telecommunications, ICT strategies, business models, database management, data center consolidations, support and call center setup
Since 1999 independent consultant and project manager: ICT strategies and governance, processes, audits, security, infrastructure (including cloud, DevOps and tools), data and output management, organizational restructurings, business project management and consulting in various industries
Generalist with analytical skills, strong communicator at all hierarchy levels, deployable as manager, coach, project manager or consultant
Matthias Isler
Last position:
Fractional CTO (Principal Engineer / Technical Architect)
- Designed large-scale systems and APIs serving thousands of concurrent users.
- Refactored a 650k-LOC monolith and led full AWS migration for stable performance.
- Introduced SLO-based observability, improving reliability and recovery flow.
- Optimised cloud and databases, achieving significant cost and latency reduction.
- Delivered LLM, RAG, and document-automation pipelines adopted in production.
Kalin Stefanov
Last position:
Sr Data Engineer / Architect at Samsung Logistics
- Architected and implemented a structured three-layer enterprise data warehouse model in Azure, establishing a robust and scalable data environment.
- Migrated legacy stored procedures to streamlined Azure Data Factory (ADF) pipelines, enhancing data processing efficiency.
- Introduced comprehensive Git-based source control, ensuring rigorous version management and collaborative development practices.
- Established automated data quality frameworks with proactive monitoring and alerting, significantly improving data integrity and reliability.
- Spearheaded the design of an enterprise data model, enabling a self-service BI environment that empowered business teams with advanced analytics capabilities.
- Developed and delivered insightful dashboards and reports in Power BI, transforming raw data into actionable business insights.
- Technologies: Azure Data Factory (ADF), Azure, MS-SQL, DataVault 2.0, Git, Power BI, data quality automation, Agile/Scrum, data modeling, self-service BI, stakeholder management.
Deschances Tchakounang Ndjomou
Last position:
Senior Data Architect at Odd Parrot
- Supporting UBS Wealth Management as Senior Data Architect within a multi-year enterprise data mesh transformation.
- Guiding a strategic stream to design and implement a data product aligned with UBS’s enterprise-wide data mesh framework.
- Leading architecture definition, governance alignment, and cross-domain integration to ensure scalable, compliant, and reusable data products across global stakeholders.
- UBS – Global Wealth Management Data Product Architecture: Designed an enterprise-aligned data product spanning 26 countries, defining data contracts, metadata standards, and federated architecture patterns enabling cross-domain reuse across the bank.
- Defined cross-jurisdictional data policies and access controls to ensure compliance with regulatory requirements across multiple regions (EU, APAC, LATAM, CH).
Ala Lutz
Last position:
VR/AR/ML Project Site Lead (contract by Experis) at Meta
- Acted as project lead in different internal projects, including the development and implementation of innovative solutions based on machine learning, virtual and augmented reality with the aim of providing great user experience
- Drove project planning, execution and reporting, designed risk mitigation and schedule adjustment plans to bring the projects on the green path
- Directed the process optimization and conducted project reviews by being the liaison between engineering teams and executive stakeholders
- Served as agile coach and led the scrum ceremonies such as daily stand-ups, sprint planning, sprint review and sprint retrospective
Oscar Montero
Last position:
IT Specialist / DBA at Rothschild Private Swiss Bank
- Act as DBA SME for MS SQL Server and primary contact for MSSQL infrastructure and long-term technology roadmap in a critical 24/7 banking environment
- Maintain and evolve SQL infrastructure and monitoring system across development, test, UAT, and production environments (10 servers, 4 always-active Windows clusters, MSSQL 2014–2022 on VMs hosted by Inventix)
- Automate SQL operations using Brent Ozar scripts, PowerShell, and Inventix cloud script integration
- Build and improve ETL processes and BI applications (Power BI); plan resources and mentor BI team
- Participate in review, delivery, and deployment of database improvements across the software development lifecycle
- Migrate SQL Server instances from 2017 to 2019 and 2022
- Integrate new applications requiring MSSQL databases
- Manage and support on-premise and Azure SQL Server solutions; advise on industry standards, best practices, and creative database solutions
- Develop automation scripts for internal systems using PowerShell and Git
- Monitor systems with Splunk and Grafana; manage alerts, filters, data ingestion, and dashboard configuration
- Collaborate with operations, development, and business teams to identify and resolve operational and performance issues proactively
- Implement new SQL Server technologies such as Query Store, Extended Events, Tuning Advisor, and system traces
- Provide on-call support and regular maintenance during evenings and weekends
- Define and enforce system policies and standards; work closely with application managers, HR, and IT platforms in Switzerland and the UK
- Handle 2nd/3rd level support service requests; document resolutions and cooperate with vendors
- Use internal and external monitoring tools to detect performance trends and implement alerts and processes to prevent database issues
- Document and share knowledge to improve technical understanding across operations and development teams; administer Confluence (installation, configuration, document management, performance, upgrades)
- Work professionally in cross-functional teams to advise, influence, and coach development and operations teams on database topics
Stefano Barbera
Last position:
CEO & Founder at wyse Business Solutions GmbH
Revealed Upon-Contact
Last position:
Executive Enterprise Data & Analytics Advisor at A medium-size private bank
- Responsible for defining and implementing an enterprise Data Governance framework with an initial focus on BCBS-239, including Data Catalog tooling and formalized data asset ownership.
- Led the turnaround and delivery of an Enterprise Data Warehouse to support regulatory and management reporting on a robust, integrated data platform with a primary focus on Finance.
- Served as a key contributor to the bank’s Data, Analytics & AI strategy, which was subsequently approved by the management board.
Karl Estermann
Last position:
incl. CI/CD, automation at AALS Software AG
- Designed and delivered a practical real-time course on Flink and Hadoop with MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, and Kafka
- Gained extensive DevOps and CI/CD experience
- Created ETL/ELT pipelines with Apache tools and Pentaho
- Led projects in municipal software, financial services, and big data with Kafka
- Developed AI/NLP models and chatbots with RASA, Chatter, and Dialogflow
- Built and managed a TypeDB knowledge database
- Worked with OpenStack, Kubernetes, and Podman
Discover over 15,000 top freelancers
Statistics of experts using Data Warehouse
Aggregated from the professional profiles of matched freelancers.
Experience
27 years
Position duration
3.3 years
Positions per freelancer
14
Top business areas
Information Technology, Project Management, Business Intelligence
Top industries
Information Technology, Banking and Finance, Professional Services
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
87%
Master's degree or higher
73%
Certifications per freelancer
4
Most common languages
English, German, French
Speak two or more languages
100%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Switzerland 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 Switzerland using Data Warehouse
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What it is
A data warehouse is a system for storing and combining data from many sources for reporting and analysis. It is built for trusted history, not day-to-day transactions. Teams also call it a DWH or an EDW when they mean the same core setup.
Common uses
- Executive and operational reporting
- KPI layers for finance, sales, and marketing
- Historical analysis and trend tracking
- Data modeling for BI tools and dashboards
- Shared metrics across teams
Stack and tools
Strong professionals know more than one warehouse stack. They work with SQL, dbt, dimensional modeling, ELT pipelines, and tools such as Snowflake, BigQuery, Amazon Redshift, Azure Synapse, or on-premises platforms when needed.
When to bring in help
Companies bring in freelance expertise when a warehouse is slow, messy, or hard to trust. Typical signs include duplicated metrics, broken pipelines, unclear data ownership, or a move from spreadsheets to a proper reporting layer. In Switzerland, this often comes up in teams that need clean collaboration across local and international units.
What strong specialists do
Good specialists focus on data quality, model design, and performance. They define facts, dimensions, and business rules in a way non-technical teams can use. They also document lineage, handle changes safely, and keep the warehouse easy to maintain.
Delivery and collaboration
A freelance expert can work on a greenfield warehouse, a migration from an older DWH, or a cleanup of an existing setup. Remote work is common, but on-site sessions help when requirements are complex or business users need workshop time. In Switzerland, English is often enough for delivery, while local language skills can help in day-to-day stakeholder work.
Frequently asked questions
Questions about Data Warehouse? Start with the answers below.
A strong data warehouse brings data from systems like CRM, ERP, web analytics, and finance into one place for reporting and analysis. It lets teams compare periods, trust shared metrics, and build dashboards without querying every source system separately. It is usually the base for BI and management reporting.
A data warehouse is shaped for structured reporting and business definitions, while a data lake usually stores raw or semi-structured data for broader reuse. Warehouses are better when teams need governed metrics and consistent dashboards. Many companies use both: the lake for intake, the warehouse for trusted analysis.
Bring in Data Warehouse specialists when a migration is stuck, a reporting layer is unreliable, or your team needs help with modeling and performance. Freelancers are also useful for short projects such as a new subject area, a cloud migration, or a cleanup of broken ETL or ELT logic. They can add structure without a long hiring cycle.
A capable DWH professional usually knows SQL very well and understands data modeling, ETL or ELT, and BI tooling. Experience with dbt, orchestration tools, cloud warehouses, and source system integration is often important too. Business communication matters because the work depends on clear definitions.
A data warehouse project needs someone who has seen both design and repair work, not just reporting tasks. Simple dashboard support may need less depth, but migrations, multi-source integration, and performance tuning need strong hands-on experience. The right level depends on how much data is changing and how many teams depend on it.
Most Data Warehouse work can be done remotely because the core tasks are SQL, modeling, and pipeline design. On-site time helps at the start of a project, during stakeholder workshops, or when data definitions are disputed. In Switzerland, hybrid collaboration is common when business users and technical teams need close alignment.
A good EDW specialist can explain modeling choices in plain language and show how they improve trust, performance, or maintainability. Look for clear examples of handling source changes, building robust transformations, and fixing data quality issues. Strong answers are specific about trade-offs, not just tools.
A data warehouse assignment often includes source mapping, dimensional models, SQL transformations, documentation, testing, and support for BI users. Some projects focus on cloud migration, others on tuning, governance, or rebuilding a broken reporting layer. The best projects have clear ownership and access to real business rules.
The average hourly rate of freelancers in Switzerland who have used Data Warehouse in their recent projects is 124 €, which corresponds to a daily rate of about 990 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Data Warehouse in their recent projects, 87% hold at least a Bachelor's degree and 73% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Data Warehouse in their recent projects have 27 years of professional experience, with a single engagement typically lasting around 3.3 years.
The most common languages among freelancers in Switzerland who have used Data Warehouse in their recent projects are English (100%), German (90%), and French (50%).
The most common industries among freelancers in Switzerland who have used Data Warehouse in their recent projects are Information Technology (85%), Banking and Finance (70%), and Professional Services (70%).
The most common business areas among freelancers in Switzerland who have used Data Warehouse in their recent projects are Information Technology (100%), Project Management (85%), and Business Intelligence (80%).
Main locations of FRATCH Experts, who have recently used Data Warehouse
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.
Zurich Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
