Grafana Experts in Switzerland
for clear observability, matched in minutes with vetted and available freelancersHire experts who build Grafana dashboards, connect Prometheus and Loki data, and turn complex infrastructure signals into useful alerts and reports. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts in Switzerland, who have recently used Grafana
Mohamad K.
Last position:
Senior Backend Developer at Standing on Giants
- Led architecture and end-to-end engineering delivery for community-driven SaaS platforms serving 2M+ monthly active users.
- Architected and led the migration of a monolithic Python/FastAPI and PostgreSQL database and LangChain with codebase to an event-driven microservices architecture on AWS EKS, sustaining 10x traffic growth from ~150 RPS to 1,500+ RPS with zero re-architecture cycles.
- Defined and enforced engineering standards across services including API contracts, observability baselines, and deployment topology, reducing production incidents by 55% and MTTR from 2 hours to under 25 minutes within 9 months.
- Redesigned the caching and query layer using multi-tier Redis caching and database indexing/partitioning, cutting p95 API latency from 850ms to 180ms (78% reduction) and database CPU load by 45%.
- Built CI/CD platform on GitHub Actions, Terraform, and Kubernetes (EKS) with blue-green and canary rollouts, increasing deployment frequency from ~2/month to 8-12/day and reducing lead time from 10 days to under 6 hours.
- Implemented contract testing, automated load testing, and observability SLOs using Prometheus, Grafana, and OpenTelemetry, raising platform availability from 99.5% to 99.95% (10x reduction in error budget burn).
- Led and grew a cross-functional team of 8 engineers across backend, frontend, and DevOps, scaling headcount from 4 to 8 with 85% retention; owned hiring, onboarding, performance reviews, and career development.
- Partnered with Product, Design, and Client Success leadership as primary technical decision-maker; translated business goals into technical roadmaps and drove build-vs-buy decisions on authentication, search, and AI tooling.
- Introduced AI-assisted development workflows including automated code review and a RAG-based internal knowledge assistant using Graph (GraphRAG, Neo4J), increasing sprint throughput by 30% across two quarters.
- Owned incident command and production support rotation; established runbooks, postmortem culture, and on-call SLOs, reducing weekend paging incidents by 70%.
- Developed and optimized Algorithms using python libraries like Numpy and Pandas.
Christoph P.
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 a 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% by optimizing CI/CD pipelines and establishing 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
Milan S.
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 R.
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 R.
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 B.
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 H.
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 G.
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 K.
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 S.
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 M.
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 S.
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.
Karl E.
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
Stephan R.
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.
Nenad T.
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
21 years
Position duration
2.4 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
71%
Certifications per freelancer
6
Most common languages
English, German, French
Speak two or more languages
100%
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Grafana 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 (100%)
- Banking and Finance (88%)
- Government and Administration (50%)
- Telecommunication (50%)
- Education (44%)
- Professional Services (44%)
- Energy (38%)
- Healthcare (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Grafana does
Grafana is an open-source observability and analytics platform for querying, visualising and alerting on data from many sources. Teams use it to monitor applications, cloud infrastructure, networks, databases and business operations from one shared interface. Its dashboards turn time-series data and logs into views that support fast technical decisions.
Core capabilities
Grafana specialists create dashboards with panels, variables, transformations and reusable templates. They configure alert rules, contact points and notification policies so important changes reach the right people. They also manage access, folders, annotations and dashboard versioning for teams that need consistent monitoring across environments.
Data source ecosystem
Grafana connects to Prometheus, Loki, Elasticsearch, InfluxDB, Graphite, PostgreSQL and many other sources. Strong professionals understand how each backend stores, indexes and queries data, then select the right visualisation for the question being asked. They may also work with Grafana Mimir, Grafana Tempo, OpenTelemetry and cloud monitoring services.
Common project work
- Build service, infrastructure and SLO dashboards
- Connect metrics, logs and traces across distributed systems
- Design alerting rules and on-call views
- Migrate dashboards between environments or organisations
- Improve query performance and reduce noisy alerts
Grafana is often part of a wider observability stack rather than a standalone reporting tool. It can support Kubernetes operations, CI/CD monitoring, incident response, capacity planning and operational reporting for teams in Swiss finance, manufacturing, healthcare and technology environments.
When companies need expertise
Freelance expertise helps when dashboards have become inconsistent, alerts are unreliable or monitoring data is spread across too many tools. Companies also bring in specialists during Kubernetes or cloud migrations, after adopting Prometheus or Loki, or when they need a monitoring standard across multiple teams. In Switzerland, remote collaboration is common, while regulated or infrastructure-heavy projects may benefit from occasional on-site work and clear local-language communication.
What strong specialists bring
The best Grafana professionals connect visual design with practical operations. They can explain a query, validate the underlying data and show how an alert supports a real response. Look for experience with PromQL, LogQL, Terraform, Kubernetes, Prometheus, Loki and incident workflows, plus the ability to document dashboards and hand over maintainable configurations. Quality means useful signals, trusted data and views that remain clear as systems change.
Frequently asked questions
Quick answers to the questions that come up most around Grafana.
Grafana is used to explore, visualise and monitor metrics, logs, traces and other data. Companies use it for infrastructure dashboards, application observability, alerting, incident response and operational reporting.
Grafana is designed to work across many data sources, while Kibana is closely associated with the Elastic Stack. Cloud-native monitoring tools can offer deeper integration with one provider, whereas Grafana is often chosen for a unified view across cloud, on-premises and application systems.
A strong Grafana professional often works with Prometheus, Loki, Tempo, OpenTelemetry, Kubernetes and Terraform. Knowledge of PromQL, LogQL, alert design, Linux, networking and incident management is also valuable.
A Grafana project may need a focused specialist for dashboard changes or a broader observability professional for a new monitoring platform. The scope depends on data-source integration, alerting complexity, access controls and whether the work must support production incidents.
Yes, Grafana work is often suitable for remote collaboration because configuration, queries and dashboards can be reviewed online. On-site sessions may still help with sensitive infrastructure, workshops or operational handover, and teams should agree on English, German, French or another working language early.
Ask a Grafana specialist to explain how they would validate data, control alert noise and design dashboards for different audiences. Review examples of documentation, query structure, permissions and handover rather than judging visual polish alone.
Grafana is widely used for technical observability, but it can also present business and operational data from SQL databases and other sources. Its value depends on trustworthy queries, clear context and careful access control, not only on the source system.
Before starting with Grafana, freelancers should clarify the data sources, retention rules, dashboard owners, alert responsibilities and deployment process. They should also understand whether the project uses Grafana Cloud, self-managed Grafana or a wider stack built around Prometheus, Loki or OpenTelemetry.
The average hourly rate of freelancers in Switzerland who have used Grafana in their recent projects is 112 €, which corresponds to a daily rate of about 895 € 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 71% hold at least a Master's degree.
On average, freelancers in Switzerland who have used Grafana in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2.4 years.
The most common languages among freelancers in Switzerland who have used Grafana in their recent projects are English (100%), German (88%), and French (31%).
The most common industries among freelancers in Switzerland who have used Grafana in their recent projects are Information Technology (100%), Banking and Finance (88%), and Government and Administration (50%).
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 (69%).
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
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Philipp Thomaschewski
FRATCH CEO
