ETL Experts in Switzerland
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Meet FRATCH Experts in Switzerland, who have recently used ETL
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.
Banashankari Naragundkar
Last position:
Senior IT Project Manager, Data and Integration Platform at MCH Group, Group IT
Led implementation of an Azure cloud-based, event-driven enterprise integration platform connecting Salesforce, Momentus(event) and ERP applications. Reduced overall costs by 60%, lowered operational errors to under 1%, and delivered on time.
- Led the full project lifecycle from initiation to delivery using agile and hybrid methods - platform vision, feasibility, technical blueprint, architecture, implementation, integration, testing, rollout and business adoption.
- Built the engineering team from the ground up, leading teams across Switzerland, Bulgaria and India using Scrum and Kanban; established Jira, Confluence, Asana and SharePoint for delivery and reporting.
- Established and managed frequent steering meetings, reporting that gave stakeholders transparency and drove key decision-making.
Hanspeter Jost
Last position:
Lead Salesforce Consultant DACH at DXC Technology
- Recording, validating, and coordinating customer requirements
- Analyzing customers' business processes, and designing and implementing solutions in Salesforce
- Designing and developing Salesforce architectures using Sales and Service Cloud
- Maintaining and expanding my skills to stay current with Salesforce's new features
- Taking an active role in the pre-sales phase and working closely with sales and pre-sales teams
- Building and strengthening the team's expertise in new areas
- Actively helping to define and align my role within DXC's best practices
- MC Growth implementation
- AI Agentforce Agents Builder
- Agent Designer with elements.cloud
- Salesforce org assessments
- Process configuration mining
- Serving as a single point of contact for global SFDC contacts
- Coordinating projects with the EMEA and global headquarters
- Preparing proposals and presales work with Salesforce Account Executives and client partners for global accounts
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
Dariusz Kaczmarkiewicz
Last position:
Business System Analyst at Zurich Insurance
Participating in a strategic enterprise project to introduce a centralized customer data platform ("Single Source of Truth") to eliminate redundant data storage and accelerate digital services
Analyzing and documenting business and system requirements for migrating large, heterogeneous data sets (ETL) and for continuous data synchronization between core systems and the new platform
Close collaboration with business units, data engineers and architects to gather and validate requirements, and to ensure data quality, consistency and regulatory compliance
Defining the migration strategy, specifying ETL processes and synchronization mechanisms, and documenting technical interfaces
Developing and executing test cases for migration and synchronization processes, and performing defect analysis to ensure data integrity and system stability
Technologies: SQL, Microsoft SQL Server, Azure DevOps, Confluence, UML, RESTful Services, Swagger, Postman
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.
Csaba Kéri
Last position:
ServiceNow Consultant at DXC
- Worked in mixed teams with several clients
- Performed requirement engineering, proposal and time estimation
- Developed ACLs, business rules, flows, workflows, catalog items, various scripts, UI actions, policies, scoped applications
- Customized mobile apps: Now Agent and Now Mobile
- Implemented integrations using the Integration Hub
- Coordinated continuously with clients during development
- Performed testing and helped clients with testing
- Deployed to production and applied main version upgrades and patches
- Managed CMDB, domain separation and asset management
- Integrated between instances at different clients
- Developed GlideScript: business rules, scripted REST endpoints, extension points, fix scripts, background scripts
Bojan Antonović
Last position:
Full Stack Developer with Angular at Further Education
- Highest level achieved: Certified Mid-Level Angular Developer
- 13 technologies newly learned or refreshed with (re-)certifications
- Current: Docker, Azure, Quarkus
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.
Daniel Lisak
Last position:
SQL, .NET and VBA Developer at Postfinance AG
- For the internal MIS, which gathers data in a complex, comprehensive system landscape and loads it into a central database via ETL, existing processes and packages had to be maintained and new KPIs analyzed, specified, and implemented.
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).
Viktors Dundurs
Last position:
IT Consultant at Dundurs Consulting GmbH
- Supporting the implementation of a digitalization project in the area of nutrient balancing
- Analyzing complex business processes and interfaces to surrounding systems (data flows, dependencies)
- Designing processes for data retrieval, storage, and sharing, including plausibility checks and validation logic
- Creating and prioritizing user stories and guiding developers in agile sprints (clarifying acceptance criteria, conducting technical reviews)
- Supporting the Product Owner in defining functional and technical requirements
- Participating in the rollout process and delivering training for stakeholders
- Documenting processes, requirements, and interfaces (including records/changes for releases)
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
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
Nenad Tomasic
Last position:
Contractor at Swisscom
- SAP Data Designer ETL, SQL Server, Docker for PharmaSuisse Data Warehouse Application (Application Manager and Developer)
- SAP Business Objects, ABAP on SAP HANA for the Police of the Canton of Bern (Application Manager and Developer)
- Avaloq Connectors to SAP BW for Banque Cantonale de Fribourg
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
24 years
Position duration
2.8 years
Positions per freelancer
13
Top business areas
Information Technology, Business Intelligence, Project Management
Top industries
Information Technology, Banking and Finance, Manufacturing
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
92%
Master's degree or higher
77%
Doctorate
8%
Certifications per freelancer
5
Most common languages
English, German, Spanish
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 ETL
Rates are based on recent contracts and do not include FRATCH margin.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
ETL basics
ETL stands for extract, transform, load. It moves data from source systems into a target store such as a data warehouse, data lake, or reporting layer. Companies use it to clean, standardize, combine, and prepare data for analysis.
Common work
- Build batch pipelines from ERP, CRM, web, and product data
- Map source fields into consistent warehouse models
- Validate, deduplicate, and enrich records before load
- Set up incremental loads, retries, and backfills
Tooling
Strong specialists know the full stack around ETL: SQL, Python, orchestration, and transformation tools such as Informatica, Talend, SSIS, Apache Airflow, and dbt. They also work with cloud warehouses and storage layers, including Snowflake, BigQuery, Redshift, Azure, and S3-based lakes.
When to bring one in
Companies usually need freelance ETL expertise when a pipeline fails, a migration is blocked, or reporting data is late or inconsistent. It also helps when teams in Switzerland need short-term support for multilingual source data, cross-border systems, or a warehouse rollout that must fit existing internal processes.
What good specialists deliver
- Stable jobs with monitoring and clear failure handling
- Transparent transformation logic that can be reviewed and maintained
- Data quality checks and reconciliation between source and target
- Documentation that helps internal teams keep the flows running
Hiring signals
Look for specialists who can explain lineage, loading strategy, and error handling in plain language. They should be comfortable with source-to-target mapping, scheduling, schema changes, and dependency management. Strong ETL work is about accuracy, traceability, and keeping data usable for the business.
Frequently asked questions
Key details about ETL, drawn from the questions we get asked most.
ETL is used to move data from operational systems into a place where it can be analyzed and trusted. It extracts from sources, transforms the data into a usable shape, and loads it into a warehouse, lake, or reporting layer. That makes it a core part of analytics, finance reporting, and many internal data products.
ETL transforms data before it lands in the target system, while ELT loads first and transforms later inside the warehouse. ETL is often preferred when data must be cleaned, masked, or reshaped before storage. ELT can be a better fit when the target platform is powerful enough to handle the heavy lifting.
A good ETL specialist often works with SQL, Python, and orchestration tools such as Apache Airflow. Depending on the stack, they may also use Informatica, Talend, SSIS, or dbt. The right tool depends on whether the work is more batch-oriented, cloud-first, or tightly tied to legacy systems.
A strong ETL freelancer usually brings data modeling, schema design, and quality validation skills. Experience with APIs, file formats, warehouses, and cloud storage is also common. If the data source landscape is messy, source-system knowledge and careful debugging matter just as much as the tool choice.
The right ETL profile depends on complexity, not just scope. A simple pipeline fix may need someone who knows the tool and the source system well, while a migration or redesign needs deeper experience with lineage, incremental loads, and failure handling. The safest choice is someone who has worked on similar data flows before.
Yes, most ETL work can be done remotely if the freelancer has access to the right systems and documentation. For projects in Switzerland, remote collaboration often works well for pipeline design, transformation logic, and testing. On-site time is mainly useful when access rules are strict or the source systems are difficult to inspect from afar.
Look for clear explanations of source-to-target mapping, error handling, and recovery plans. A strong ETL specialist documents assumptions, builds checks for data quality, and keeps transformations understandable. If they can describe how they would debug a failed load without hand-waving, that is a good sign.
Yes, ETL is still very relevant. Even in modern cloud stacks, data often needs cleaning, joining, masking, or standardizing before it becomes useful. Many teams use ETL for sensitive data, complex legacy sources, or flows that must stay predictable and auditable.
The average hourly rate of freelancers in Switzerland who have used ETL in their recent projects is 118 €, which corresponds to a daily rate of about 941 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used ETL in their recent projects, 92% hold at least a Bachelor's degree, 77% hold at least a Master's degree, and 8% hold a doctorate.
On average, freelancers in Switzerland who have used ETL in their recent projects have 24 years of professional experience, with a single engagement typically lasting around 2.8 years.
The most common languages among freelancers in Switzerland who have used ETL in their recent projects are English (100%), German (89%), and Spanish (39%).
The most common industries among freelancers in Switzerland who have used ETL in their recent projects are Information Technology (89%), Banking and Finance (72%), and Manufacturing (56%).
The most common business areas among freelancers in Switzerland who have used ETL in their recent projects are Information Technology (89%), Business Intelligence (78%), and Project Management (78%).
Main locations of FRATCH Experts, who have recently used ETL
Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.
Zurich Request a free demo
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Philipp Thomaschewski
FRATCH CEO
