
Kibana Expert
to turn Elasticsearch data into clear decisions, matched in minutes with vetted freelancersHire experts who create Kibana dashboards, configure Elasticsearch visualizations and build reliable observability views for logs, metrics and traces. FRATCH matches you quickly and precisely with vetted, available freelancers.
Meet FRATCH Experts who have recently used Kibana
Will O.
Last position:
Solution Architect at Polizei Behörde Stuttgart
Designed a migration strategy for WLS applications to BKA Cloud and Stack IT
Created a hybrid cloud for internal testing and development with Kubernetes
Transformed the IT landscape from an outdated monolithic architecture to a cloud-based architecture
Integrated new CI/CD processes using Azure Pipelines
Quadrupled the processing throughput for personnel security checks
Migrated personnel security screening applications to Docker-based applications
Implemented CI/deployment pipelines using Azure DevOps
Environment: Java Springboot, Kubernetes, Oracle Weblogic, OpenID, Camunda, JUnit, TOGAF
Prasad T.
Last position:
Solution Architect / Senior Manager – DTC E-Commerce Platform at BRITA
- Led discovery phase and POC for Shopware to Shopify Plus migration across EMEA markets, evaluating platform suitability, technical architecture, and multi-brand/multi-country capabilities against business requirements.
- Designed reference architecture for Shopify Plus implementation incorporating headless front-end patterns (Vue.js, Nuxt.js), CMS integration (Magnolia), and Azure middleware (APIM, Functions, Logic Apps, Service Bus) for 11 EMEA markets.
- Defined migration strategy analyzing data mapping, cutover approach, and zero-downtime deployment patterns using Varnish caching, GitOps pipelines, and CI/CD orchestration across six vendor teams.
- Architected multi-tenant Shopify Plus governance model with centralized admin, localized storefront customization, and compliance controls (GDPR, data residency).
- Prototyped AI-driven search optimization (LLM.txt, JSON-LD) for product discoverability in Google AI results, demonstrating post-launch performance opportunities.
- Defined EMEA expansion roadmap for 15+ markets through C-level strategic workshops, identifying phased rollout, market-specific configurations, and resource requirements.
- Tech Stack: React, Nuxt.js, Vue.js, Magnolia CMS, Shopware, Shopify Plus, Azure (APIM, Functions, Logic Apps, Service Bus, Front Door), Varnish, SAP, MS Dynamics, Docker, Kubernetes, GitHub Actions, PostgreSQL, Kafka
Ramazan C.
Last position:
Fullstack-/DevOps Engineer at BKA (Federal Criminal Police Office)
Development and further development of an internal platform for managing and providing technical resources, virtual machines, and infrastructure services. The platform supports self-service processes and covers functions that are conceptually comparable to cloud management solutions like Azure or AWS.
- Responsible involvement in the design, development, and implementation of new backend and frontend features
- Hands-on development with Java, Spring Boot, Python, and Angular
- Implementation of REST interfaces, business logic, validations, and integrations into existing system landscapes
- Further development of modern web interfaces with Angular, including connection to backend services
- Participation in architecture and design decisions within the team, especially with regard to scalability, maintainability, and clean interfaces
- Containerization and deployment of applications with Docker, Kubernetes, and Helm
- Support with CI/CD processes and deployment to Kubernetes-based environments
- Work in the environment of vSphere, Broadcom, GitLab CI/CD, ArgoCD, Maven, npm, and NuGet
- Close collaboration with developers, business teams, DevOps, and other technical stakeholders
- Analysis of technical requirements, deriving suitable solutions, and independent implementation in an agile team
- Use of GitHub Copilot to support code generation, refactoring, test case creation, and technical documentation
Methods/ tools/ technologies: Languages & frameworks: Java (21), Spring Boot (4.x), Python, Angular, Robot Framework, Kubernetes, Helm Persistence: PostgreSQL, MongoDB, Hibernate, Liquibase Architecture & communication: REST, gRPC, GraphQL, Apache Kafka, OpenAPI, Microservices, Event Driven, Domain Driven Design Cloud & infrastructure: Terraform, Docker, Rancher, Helm, Ansible Security: OAuth2, MS (Entra ID), web security, Keycloak (extensions for detailed group rights) DevOps: GitLab CI/CD, Ansible, Maven, Gradle, Grafana, Prometheus, Git, GitHub Copilot Testing & QM: JUnit, Robot Framework, automated component and integration tests, E2E tests with Playwright, Testcontainers, EasyMock Methodology & approach: Kanban, JIRA, Confluence, Clean Code
Abdellatif L.
Last position:
Senior Software Engineer & Team Lead at Euvia Travel GmbH (sonnenklar.TV)
- Technical lead of a four-person development team during the two-year redevelopment of the sonnenklar.TV travel portal with over 10,000 daily visitors
- Replaced an established legacy architecture based on Laminas (Zend Framework) and Elasticsearch with a headless platform based on TYPO3 LTS and MariaDB — consolidated two systems into one and significantly reduced operational and maintenance effort
- Built the frontend independently with Vue.js, Nuxt, TypeScript and TailwindCSS; developed most of the component library independently
- Migrated the editorial workflow for over 30 editors from a custom-built backend to the TYPO3 backend
- Significantly reduced loading times for core pages; continuous delivery via Jenkins and GitLab CI
Position ended due to operational reasons as part of staff reductions following the decline in demand in the travel industry.
Aurelia H.
Last position:
Software Full Stack Developer at INNIO Jenbacher GmbH & Co OG
- Implementing and extending an Electron app based on TypeScript, React and Node.js to display stream content and technical data
- Extending a Kotlin backend for message processing via Kafka
- Extending various React modules
- Programming custom solutions for customers, including testing
- Creating documentation
- Development in accordance with Scrum processes
Used skills: React, React Hooks, Jest, Vitest, Typescript, Electron, IntelliJ, Vite, Github, Jira, Node.js, yarn, npm, pnpm, Swagger, OpenAPI, Storybook, Docker, Prettier, Eslint, tailwindcss, i18n, GraphQL, CoPilot, Postgres, JSON, Sqlite, trpc, influxdb, Java, Spring, Kotlin, Kafka, Git, Sonarcube
Sabahattin K.
Last position:
Sole responsibility (design, development, infrastructure, operations) at Own project busik.ch
- Ride-sharing and bus platform, live and fully functional. Backend with Spring Boot 4.1 on Java 21, PostgreSQL with Flyway, and Testcontainers integration tests. Hosted in my own AWS account (ECS Fargate, ALB, ECR, IAM Least-Privilege) with CI/CD via GitHub Actions and OIDC federation without static credentials. Development fully AI-supported with Claude Code, including custom skills and project-specific memory. Spring Boot · Java 21 · PostgreSQL · Flyway · Docker · AWS ECS/ALB/ECR · CI/CD · GitHub Actions · Claude Code
Priyanka S.
Last position:
Business Consultant (Software Engineering) at Boehringer Ingelheim
- Developed cloud-native enterprise applications on SAP Business Technology Platform using Node.js, SAP UI5, and RESTful APIs, delivering solutions across training management, procurement, employee information, and logistics domains
- Served as the primary developer for the maintenance, enhancement, and production support of three enterprise applications, delivering new features, resolving production issues, and coordinating releases with business stakeholders
- Experienced in leveraging AI-assisted development tools such as Microsoft Copilot to accelerate feature development, generate code, prototype solutions, and support application migration and modernization
- Designed backend services, domain models, and SAP Fiori/UI5 interfaces, implementing business workflows, role-based access control, validations, scheduling, reporting, and data import/export capabilities
- Designed and integrated enterprise services with SAP SuccessFactors, SailPoint, ERP systems, and external Learning Management APIs, including automated synchronization for 11,000+ user data
- Designed and implemented AMQP-based event-driven services processing up to 500 RFID parcel scan events per day for a logistics application
- Managed deployments and application operations using CI/CD pipelines, SAP Solution Manager, SAP BTP Cockpit, Kibana, and cloud monitoring tools, performing root-cause analysis and resolving production incidents
- Managed application dependencies by resolving npm package version conflicts and remediating critical and high-severity security vulnerabilities, ensuring production compliance and application stability
- Collaborated with architects, business users, SAP governance teams, and distributed Agile teams throughout technical design, code reviews, sprint planning, documentation, and software delivery
Martin H.
Last position:
Lead Product Owner at Energy
- Team leadership: Prioritization and coordination of four cross-functional teams.
- Platform strategy: Development and implementation of strategies to optimize existing IT platforms.
- Stakeholder management: Active management of expectations and communication with internal and external stakeholders.
- Program and innovation management: Prioritization and coordination of cross-department projects as well as innovation initiatives.
- Product Owner consulting: Advising Product Owners with a focus on product development and continuous product improvement.
- Organizational development: Improving communication and decision-making structures across all organizational levels.
- Change management: Implementing best-practice change management methods to ensure continuous optimization and innovation.
- Quality assurance: Ensuring high quality standards in processes, services, and deliverables.
Oleg O.
Last position:
Senior Software Developer / BI Integration Developer Power BI, C# at Telecommunications
Embedded Analytics & AI-assisted BI
Design and development of an integrated analytics solution based on ASP.NET Core, Power BI Embedded, and LLM services to provide context-based business information.
Development of an AI agent with Function/Tool Calling for the secure orchestration of REST APIs, SQL data sources, and technical services within defined business processes.
Building automated BI workflows including workspace management, deployment processes, and scheduled refresh via the Power BI REST API.
Implementation of secure service-to-service communication with Microsoft Entra ID and Service Principal, and integration into existing enterprise system landscapes.
Technologies: ASP.NET Core, C#/.NET, Power BI Embedded, Power BI REST API, LLM API, AI Agents, Function/Tool Calling, Entra ID
Carsten R.
Last position:
Enterprise Product Owner at opta data IT GmbH
- Product responsibility for the central platform "one" as a group-wide web-based customer portal
- Coordination of the connection of 20 group companies to the product platform
- Derivation and steering of a group-wide product strategy and roadmap aligned with company goals
- Prioritization and bundling of strategic requirements from the various group companies
- Harmonization of different interests and moderation of complex decision-making processes at management level
- Ensuring the technical and business integration of the product into existing system landscapes, business processes, and business models
- Building transparent governance and decision-making structures for group-wide product development
- Representation of the product towards internal and external stakeholders at leadership level
Marco T.
Last position:
Scrum Master at Siemens Energy
- Responsible for introducing agile methods within the Interface & Integration Team (2 Scrum Teams)
- Planning and delivering trainings in agile methods
- Facilitating workshops and Scrum events
- Removing impediments
- Increasing sprint performance
Salim C.
Last position:
Cloud / Systems Architect
- Development and introduction of operations processes
- Preparation of complete documentation packages (including incident management and operations support) to meet compliance requirements
- Introduction of a workshop on IaC (Infrastructure as Code)
- Technical consulting for the project security concept (ISMS)
- Installation and operation of Kubernetes clusters on AWS, on-prem, and Azure
- Hybrid cloud architecture design (on-prem, Hetzner, AWS)
- Analysis and troubleshooting of incidents and system outages
- Network adjustments for firewall rules, gateways, OpenVPN settings, and IPsec tunnels (pfSense)
- Technical consulting on Bitbucket, Jenkins, and GitLab CI/CD pipelines
- Consulting on Ansible deployments and infrastructure automation
- Consulting on building a scalable system in the cloud (AWS / Azure)
- Technologies / Tools: Ansible, Terraform, AWS, Azure, VPN, pfSense, Jenkins, Bitbucket, Kubernetes, GitLab Runner, ISMS, Golang, Prometheus, Grafana, S3, Lambda, RDS, ECS, Cognito, OIDC, Harbor, MinIO, Postgres, Redis, Keycloak, Ceph, Proxmox, CloudFormation, PostgreSQL, Flux CD, Hetzner, IONOS, Sonatype Nexus Repository, Entra ID, Dex IdP, Pulumi
Jorge P.
Last position:
Software Engineer – AWS and Kubernetes Specialist at Citti
- Creation, maintenance and hardening of Kubernetes clusters employing Ansible and ArgoCD
- Keywords: Ansible, AWX, Kubernetes, NetApp, Prometheus, CI/CD ArgoCD, SSO, Fluent-bit, HAProxy, Calico, Keycloak, oauth2-proxy, SealedSecrets, kubeseal, Aqua kube-bench, CIS-Benchmarks, Aqua Trivy operator
Thomas H.
Last position:
Senior MLOps, DevOps Engineer at Trianel Energy
- Build and operate an end-to-end MLOps platform on Azure ML and Kubernetes (Kubeflow) for the automated deployment, monitoring, and scaling of forecasting models (including Temporal Fusion Transformer, Informer, Autoformer).
- Implement CI/CD pipelines in Azure DevOps for the full ML lifecycle – from resource provisioning (Terraform), data transformation (Hugging Face Datasets, Pandas, PyTorch, CUDA cluster) through training and evaluation to model registry and endpoint deployment.
- Integrate MLflow for experiment tracking, model versioning, performance monitoring, and automated registration in the Azure Model Registry.
- Develop and containerize PyTorch training jobs (Azure Notebook, Jupyter Notebooks) for price and time series forecasting (PFC models) with automatic rollout via Azure ML Endpoints and REST/gRPC interfaces, Docker containerization, secured with OAuth 2.0.
- Set up monitoring and alerting mechanisms (Prometheus, MLflow Metrics), log centralization, and cost monitoring.
- Automate infrastructure provisioning and model deployment using Terraform, Helm, and Azure CLI; connect to existing market data systems and event pipelines.
- Migrate existing workloads and databases (IONOS → Azure, MongoDB) with integration into central MLOps workflows and internal networks.
- Extend the platform with LLM-based tools (LangChain, LangServe) to integrate GPT-based analysis modules into existing Spring Boot services for market anomaly detection and automated reports.
- Analyze and architect a software solution to process large volumes of data efficiently (>3000 messages/sec.) (market data store).
- Spring Boot / Java 21 container development with RabbitMQ for distributing stock market data via MongoDB (Kubernetes) with fast storage of data in Redis RMaps, deduplication, forwarding messages to Read Model queues, and building Read Models for UI display in MongoDB.
- Integration of RESTHeart to create a REST API for MongoDB.
- Build an Angular frontend to simplify data queries and master data maintenance.
- Agentic coding with remote and local LLMs (Claude Sonnet, Ollama Qwen) and MCP servers.
- Develop Python scripts for transforming and cleaning incoming stock market data (Pandas, scikit-learn).
Anupriya P.
Last position:
Senior Software Engineer at Telefonica Germany
(Maternity/Parental Leave: July 2023 – Aug 2024)
- Domain: Payment Domain | Client: Telefonica Germany
- Project: General Payment Service
The General Payment Service is responsible for processing of online payments via external payment service provider like Safer pay and PayPal
- Developed Design of Use (DOU) and interface contract documentation, ensuring clarity and compliance across system integrations
- Designed and delivered REST/SOAP web services with Spring Boot and Spring Data JPA, publishing Swagger contracts through WSO2 API Gateway to improve accessibility and governance.
- Spearheaded the on-premises to AWS Cloud migration, re-platforming from Oracle to PostgreSQL on AWS RDS and deploying services on EC2, improving scalability and cost efficiency.
- Containerized microservices using Docker and orchestrated deployments with Kubernetes, streamlining deployment pipelines and improving system reliability.
- Implemented proactive monitoring and logging via AWS CloudWatch and Kibana, ensuring stability and performance during cutover.
- Enhanced collaboration through code reviews and peer reviews, promoting maintainability and clean coding standards.
- Strengthened quality by writing comprehensive JUnit tests and preparing detailed test cases enabling early defect detection
- Delivered automated API testing with Ready API, Postman, and SOAPUI, and conducted performance testing with JMeter, ensuring reliability in high-transaction environments.
Discover over 15,000 top freelancers
Statistics of experts using Kibana
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
2.1 years

Positions per freelancer
13

Top business areas
Information Technology, Product Development, Quality Assurance

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
95%
Master's degree or higher
59%
Doctorate
10%

Certifications per freelancer
3

Most common languages
German, English, French

Speak two or more languages
97%
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology 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 using Kibana
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 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Kibana 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 (97%)
- Banking and Finance (55%)
- Automotive (48%)
- Transportation (40%)
- Retail (39%)
- Government and Administration (33%)
- Energy (32%)
- Insurance (31%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What Kibana does
Kibana is the visualization and exploration interface for Elasticsearch. It turns indexed logs, metrics, traces and business records into searchable views, dashboards, charts and alerts. Teams use it to investigate events, monitor services and share operational insight without querying raw data for every question.
Core capabilities
Kibana specialists work across the full path from ingested data to useful analysis. They shape views that are understandable to operators, analysts and business teams.
- Build dashboards with Lens, TSVB, Maps and time-based visualizations
- Create Discover views, filters, saved searches and drilldowns
- Configure alerts, rules, cases and notification workflows
- Explore logs, traces and infrastructure data through Elastic Observability
Ecosystem and tooling
Kibana sits within the Elastic Stack, commonly alongside Elasticsearch, Logstash, Beats and Elastic Agent. Strong professionals understand index mappings, data views, ingest pipelines, KQL, Elasticsearch Query DSL and role-based access. They may also connect Kibana with cloud services, application monitoring tools and incident workflows.
When companies need help
Freelance expertise is useful when a team is introducing centralized logging, replacing scattered monitoring screens or making Elasticsearch data accessible to non-specialists. It also helps when existing dashboards are slow, inconsistent or difficult to maintain.
- Design an observability workspace for applications and infrastructure
- Migrate legacy visualizations and saved objects safely
- Improve dashboard performance, permissions and navigation
- Standardize fields, naming and reusable reporting patterns
What strong specialists deliver
Quality work starts with the data model, not with decorative charts. Experienced Kibana professionals clarify who will use each view, which questions it must answer and how fresh the underlying data needs to be. They keep filters, time ranges, drilldowns and alert conditions predictable.
They also document saved objects, explain KQL choices and test dashboards against realistic traffic and failure scenarios. Their work balances readable design with query efficiency, access control and long-term maintainability.
Working with a freelancer
A clear brief should describe data sources, Elasticsearch access, existing index patterns, user roles and the decisions the dashboards must support. Share sample events and current pain points early, especially when logs or fields are inconsistent. Remote collaboration works well when access, review steps and ownership of saved objects are defined from the start.
Look for a professional who can show thoughtful dashboard structure, reliable alert logic and practical troubleshooting. Kibana knowledge is strongest when paired with Elasticsearch operations, observability practice and the ability to explain findings to the people who use them.
Frequently asked questions
Key details about Kibana, drawn from the questions we get asked most.
Kibana is used to search, visualize and monitor data stored in Elasticsearch. Companies use it for log analysis, infrastructure monitoring, application observability, security investigation and business dashboards.
Kibana is closely integrated with Elasticsearch and is especially strong for searching indexed event data, log analysis and Elastic Observability workflows. Grafana is often preferred for broad metric-source support, so the right choice depends on data sources, query needs and the existing monitoring stack.
A strong Kibana freelancer usually understands Elasticsearch mappings, KQL, Query DSL, ingest pipelines and index lifecycle concepts. Useful adjacent skills include Elastic Agent, Logstash, Beats, cloud infrastructure, security controls and incident response.
The scope of the Kibana work matters more than a fixed experience threshold. A simple dashboard may need focused visualization skills, while an observability rollout or migration calls for proven Elasticsearch knowledge, access design, performance tuning and careful testing.
Kibana projects are often suitable for remote collaboration because dashboards, saved objects and configuration can be reviewed digitally. Secure access to Elasticsearch, clear ownership of environments and regular walkthroughs are important when the specialist is not on site.
Ask a Kibana specialist to explain the data model behind each dashboard, not only its visual appearance. Review query efficiency, filter behavior, permissions, alert conditions, documentation and how well the views support real operational decisions.
Kibana work can include Elasticsearch configuration when the dashboard depends on mappings, data views, ingest pipelines or query performance. A specialist should also state clearly which changes belong in Elasticsearch and which belong in Kibana saved objects.
Kibana professionals build operational dashboards, log investigation views, service health screens, security analysis workspaces and reports for business data. They may also create alerting rules, drilldowns, maps and reusable saved-object collections for different teams.
The average hourly rate of freelancers who have used Kibana in their recent projects is 98 €, which corresponds to a daily rate of about 782 € based on an 8-hour working day.
Of the freelancers who have used Kibana in their recent projects, 95% hold at least a Bachelor's degree, 59% hold at least a Master's degree, and 10% hold a doctorate.
On average, freelancers who have used Kibana in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.1 years.
The most common languages among freelancers who have used Kibana in their recent projects are German (97%), English (97%), and French (21%).
The most common industries among freelancers who have used Kibana in their recent projects are Information Technology (97%), Banking and Finance (55%), and Automotive (48%).
The most common business areas among freelancers who have used Kibana in their recent projects are Information Technology (100%), Product Development (89%), and Quality Assurance (63%).
Main locations of FRATCH Experts, who have recently used Kibana
Our freelancers and interim experts are at home all over Germany — available on-site in Berlin, Hamburg, Munich and every major business hub, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
In Austria our freelancers and interim experts support companies from Vienna to Graz — on-site where your project needs them, or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Across Switzerland our specialists are active in Zurich, Geneva, Basel and Bern — working on-site or fully remote. Choose a city to discover matched specialists, local market insights and up-to-date availability.
Countries:
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