Grafana Experts in Switzerland
in minutes from over 15,000 CVs with the power of AIHire experts who turn metrics, logs, and traces into clear dashboards, alerts, and service views with Grafana, Loki, and Prometheus. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Switzerland, who have recently used Grafana
Christoph Pardon
Last position:
ICT DevSecOps Engineer & Security Coordinator at Abraxas Informatik AG
- Interface role with the SOC team; improved incident response time by 45% through structured escalation processes and proactive security monitoring.
- Defined technical standards for a multi-tenant enterprise platform (10+ services), resulting in 30% shorter onboarding time for new clients in the public sector.
- Active knowledge transfer and mentoring of a 6-person team; increased team autonomy and established a sustainable engineering culture.
- Reduced time-to-market by 50% through CI/CD pipeline optimization and the introduction of self-service deployments.
- Stack: GitLab CI/CD, Kubernetes, Nexus, Harbor, ArgoCD, HashiCorp Vault, Grafana, Python, PostgreSQL, Java, Spring Boot, Flyway, Quarkus, JBoss, Loki, Go, Kafka, Kustomize, MongoDB
Osman Tartoussi
Last position:
Senior Developer and Consultant at Federal Office for IT and Telecommunications BIT
IT consulting, analysis, architecture design, new and further development, code review, test automation, continuous integration and continuous delivery in the backend and frontend area.
Technology stack:
JAVA 21
Spring Boot 3
Spring Framework 6
Spring Rest
Spring Data
JPA
Postgres
Aurora Database
Typescript
OWASP
Renovatebot
Sonarqube
Prometheus
Grafana
Spring Security
Single SignOn
Keycloak
Angular 19
NgRx Redux
AWS ECS
AWS Cloudwatch
Terraform
Spacelift
GitOps
Docker
Junit
Maven
Jenkins Pipeline
GitHub
BitBucket
Nexus
Kafka
Conduktor
Kafdrop
OpenApi
Swagger
Scrum
SAFe
Jira
Confluence
Milan Simonović
Last position:
Cloud Architect & DevOps at Avaloq
- Main cloud solution architect on a banking SaaS offering hosted in Azure.
- Fully automated the Azure infrastructure in Terraform.
- Reduced cloud costs by 50%.
- Responded to incidents, found root-causes and closed with post-mortems.
Venkata Renduchintala
Last position:
Continuous Learning at Personal Time Off
- ZHAW CAS Secure Software Design and Development
- German C1 and Goethe Certificate C1
- ETH CAS Cloud and Mobile Computing at ETH Zurich
- Linux Foundation Linux System Administration LFS307
- Linux Foundation Kubernetes Fundamentals LFS258
- Linux Foundation Kubernetes for Application Developers LFD459
- Linux Foundation Kubernetes Security Fundamentals LFS460
Patrick Riegler
Last position:
DevOps Engineer at Swisscard AECS AG
- PoC for various platform integration functionalities using Backstage and Crossplane
- Implementation of improvements of developer experience with Azure AVD and DevSpace
- Manage application deployment infrastructure on Kubernetes clusters
- Manage CI/CD platform
- Manage deployments into Kubernetes (Rancher and AKS) and into Azure
- Act as security champion of the DevOps team
- Manage vulnerabilities and support dev teams to manage third-party vulnerabilities using JFrog Xray
- Support building the platform team
- Manage infrastructure as code using Terraform and Atlantis
- Build and integrate a platform and IDP using Crossplane
Yassin Ben Khalifa
Last position:
Senior Software Development Engineer in Test (SDET) at Schweizerweg Gmbh
- Designed and executed automated and manual test cases for REST APIs and UI workflows using Selenide, Selenium, and Postman.
- Developed and maintained Gatling-based performance tests for simulating user load and validating system responsiveness and stability under stress.
- Integrated test suites into CI/CD pipelines with Jenkins, enabling rapid and reliable delivery cycles.
- Employed Splunk, Grafana, and Prometheus to monitor logs, track metrics, and perform in-depth application performance monitoring (APM).
- Utilized Swagger for validating and documenting API contracts and ensuring consistency across environments.
- Created and managed isolated test environments using Docker, enabling reproducible and consistent test execution.
- Collaborated with cross-functional teams using Confluence, Jira, and Bitbucket for agile planning, documentation, and version control.
- Worked in a Java/Spring Boot tech stack, leveraging Maven for project build automation and IntelliJ IDEA for development and debugging.
Key Achievements:
- Built a reusable Selenide-based UI automation framework that reduced test creation time by over 50%.
- Automated end-to-end test scenarios for critical business workflows, increasing test coverage and release confidence.
- Designed a modular Gatling load testing framework, used for continuous performance benchmarking.
- Detected and resolved several critical production performance issues through proactive APM and stress testing.
Andreas Hetz
Last position:
Test Automation Architect at Banking Bank (name withheld)
- Set up a shift-left DevOps E2E system testing architecture
- Set up "DevOps Shift-left" E2E tests for 240+ applications
- Under NDA
Yuri Gladkov
Last position:
Senior Security Devops Engineer at Swisscom
- Implementation and maintenance of highly critical IAM solutions for B2B clients (SSO, MFA, SAML/OIDC, Entra ID, PIM/PAM)
- Security administration of Linux systems (CentOS, Red Hat) in Docker and Kubernetes environments
- Migration from Docker Swarm to Kubernetes
- Infrastructure automation with Terraform
- Planning and execution of risk assessments, threat modeling, and compliance reports
- Development and management of B2B applications (Java, REST/SOAP, Angular) and CI/CD pipelines (Python, Ansible, Jenkins, GitLab)
- Leading integration tests and UAT (Cucumber, Selenium, Katalon)
- Implementing monitoring and observability strategies with Grafana, Prometheus, and Splunk
- Integrating SAST tools like Snyk and SonarQube
- Release management and project coordination according to Scrum and SAFe
- Mentoring and technical support of junior team members
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
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.
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
Ferran Siles Vila
Last position:
Senior Software Engineer at Personal time off / Private projects
- Took on and completed private/organizational projects.
- Continued self-training, e.g., in cloud and reactive architectures.
- Focused deepening of knowledge in areas like Kafka and modern Java 17 enterprise architectures.
Stephan Rudolph
Last position:
ICT Architect/Programmer, DevOps, Design, Implementation, Test, Documentation at PostFinance AG
Deployment of a Customer Engagement & Loyalty solution in the cloud (AWS) and integration into the existing on-premise system landscape.
Technology: AWS EKS - Kubernetes, Helm, AWS EC2, AWS S3, PostgreSQL, SAP GLIF, RabbitMQ, Git, GitLab, ArgoCD, GitOps, CI/CD, Terraform, HashiCorp Vault, JFrog Artifactory, Splunk, Prometheus, Grafana, Linux, bash, IntelliJ, draw.io, Confluence
Result: Deployment of a cross-product bonus program for retail banking, embedded into online and mobile banking; actual and emotional customer engagement; improved profitability and loyalty; support for cross- and upselling; long-term improvement in customer satisfaction and positive impact on the company image.
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 Grafana
Aggregated from the professional profiles of matched freelancers.
Experience
22 years
Position duration
2.3 years
Positions per freelancer
14
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Government and Administration
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
69%
Certifications per freelancer
6
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 Grafana
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
Dashboards that explain systems
Grafana turns data from monitoring, logging, and tracing tools into dashboards people can read quickly. Companies use it to track infrastructure, applications, business events, and service health in one place. Strong specialists make the data useful, not just visible.
Common stack
Grafana rarely stands alone. It is often paired with Prometheus, Loki, Tempo, InfluxDB, Elasticsearch, and cloud monitoring services.
- Build dashboards for operations and product teams
- Set up alert rules and notification routing
- Connect multiple data sources cleanly
- Tune panels, variables, and drill-down paths
When freelance help matters
Teams bring in freelance Grafana professionals when observability work needs to move fast or when existing dashboards have become noisy and hard to trust. That is common during platform migrations, incident reviews, new service launches, and reporting work for leadership. In Switzerland, this often means supporting distributed teams that need clear English documentation and smooth remote collaboration.
What strong specialists do
Good specialists understand the data behind the charts. They know how to model metrics, design useful alerting, and keep dashboards consistent across services.
- Reduce false alerts and duplicate panels
- Create role-based views for different audiences
- Improve query performance and readability
- Document dashboards so teams can maintain them
Skills around Grafana
A strong profile usually includes PromQL, log query languages, alert tuning, Linux, cloud platforms, and basic knowledge of SRE or platform operations. Experience with Kubernetes, distributed systems, and release workflows helps because Grafana is often part of a wider observability setup. The best experts also ask about the business question before they build charts.
Hiring for real outcomes
Companies rarely need just a visual layer. They need reliable observability, fewer blind spots, and dashboards people actually use.
- Audit existing dashboards and alert rules
- Standardize metrics and naming
- Support incident response and postmortems
- Hand over clear setup notes for internal teams
Frequently asked questions
Quick answers to the questions that come up most around Grafana.
Grafana is used to turn metrics, logs, and traces into dashboards and alerts that teams can act on. It helps engineers, operations teams, and business stakeholders see system behavior without digging through raw data. In many setups, it becomes the main view for service health and performance.
Grafana is a visualization and alerting layer, while Prometheus is mainly a metrics store and query system. Compared with Kibana, Grafana is usually broader across data sources and is not tied to one logging stack. Many teams use Grafana on top of Prometheus, Loki, or Elasticsearch rather than instead of them.
A strong Grafana specialist usually knows PromQL, log queries, alert routing, and dashboard design. Cloud platforms, Kubernetes, Linux, and incident response habits are also useful because the tool sits inside a wider observability setup. Good communication matters too, since the charts must match how the team works.
A Grafana project can be simple or complex depending on data sources, alerting needs, and governance. Basic dashboard work may be enough for a small internal setup, but multi-team observability needs someone who can standardize naming, reduce noise, and keep views consistent. The harder the alerting and data model, the more senior the expert should be.
Most Grafana work can be done remotely because dashboards, queries, and alert rules are easy to review in shared tools. On-site time only helps when teams need discovery workshops, incident reviews, or stakeholder sessions with many groups involved. For companies in Switzerland, remote delivery is common, with on-site meetings used when needed.
A good Grafana dashboard answers one question per view and avoids clutter. It uses clear names, the right time ranges, sensible thresholds, and links to deeper data when needed. Strong specialists also keep it maintainable so it still works after the first release.
No. Grafana is often used for infrastructure monitoring, but it also fits application health, business metrics, security signals, and SLA views. That flexibility is one reason many teams keep it as a shared layer across different data sources.
Ask which data sources they have worked with, how they approach alert noise, and how they document their setups. With Grafana, you also want to know whether they can design for operators, product teams, and leadership without creating three separate systems. Clear answers here are a strong sign of quality.
The average hourly rate of freelancers in Switzerland who have used Grafana in their recent projects is 114 €, which corresponds to a daily rate of about 912 € based on an 8-hour working day.
Of the freelancers in Switzerland who have used Grafana in their recent projects, 100% hold at least a Bachelor's degree and 69% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Grafana in their recent projects have 22 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Switzerland who have used Grafana in their recent projects are English (100%), German (88%), and French (38%).
The most common industries among freelancers in Switzerland who have used Grafana in their recent projects are Information Technology (100%), Banking and Finance (81%), and Government and Administration (56%).
The most common business areas among freelancers in Switzerland who have used Grafana in their recent projects are Information Technology (100%), Product Development (88%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Grafana
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.
Would you rather directly get in touch?
We always have the time for a call or email!
Philipp Thomaschewski
FRATCH CEO
