Elastic Stack Expert in Frankfurt
from over 15,000 CVs with precise AI matchingHire experts who design observability solutions, build search experiences with Elasticsearch and Kibana, and manage Logstash or Beats data pipelines. FRATCH connects you quickly with vetted, available freelancers whose skills match your Elastic Stack project.
Meet FRATCH Experts in Frankfurt, who have recently used Elastic Stack
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
Basil S.
Last position:
Senior Developer / Data Engineer at Large energy-sector company
- Co-founded the Real-Time Data team, which grew to 10 members over time.
- Developed and delivered core data products.
- Optimized real-time application performance and implemented monitoring, alerting and logging solutions to ensure system stability.
- Created and maintained deployment pipelines.
- Collaborated with teammates, architects and experts in an agile Scrum environment.
- Operated applications, analyzed, tested and troubleshot software solutions.
Kurt R.
Last position:
Lead Solution Architect (AI HealthTech) / interim CTO & Product Co-Owner at Physio-Agil Frankfurt
- General CTO responsibilities (architectural design, operational setup, external runtime product evaluation, investor buy-in, regulatory compliance).
- Software development oversight (implementation on deep-dive-in) plus workflow design.
- Product co-ownership.
- Tech/tools/frameworks: proprietary software (Java, JavaScript), Kubernetes, Postgres, MiniIO, Ollama (internal), several xAI API (external), OpenTofu (Terraform), Keycloak, Kafka, Prometheus, ELK Stack, GitHub, GitHub Workflows, Argo CD, ISO 27001, BSI-ISM, EU AI Act.
Oluwasegun A.
Last position:
Observability Specialist at ING GmbH
- Requirements analysis for the enterprise-wide observability platform.
- Creation of playbooks and pipelines for rolling out Envoy, OpenTelemetry Collectors, and OpenTelemetry Agents.
- Conducting load tests for capacity planning of metrics for the observability platform.
- Documentation and implementation of compliance standards for production readiness.
- Creation and design of RED metrics, spanmetrics, JBoss, and Tomcat dashboards for mission-critical applications.
- Setting up alerts for critical applications for proactive incident response.
- Integration of OpenShift applications into the enterprise-wide observability stack.
Tan P.
Last position:
DevOps Engineer in the DevOps Team at Rise-World
- Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
- Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
- Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
- Use of Scrum and Kanban methods.
- Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
- Development of new plugins and add-ons needed on current infrastructure.
- Database support.
- Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
- Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
- Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
- Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
- Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
- Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
- Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
- Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
- Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
- Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
- Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
- Automated system provisioning and deployment using CloudFormation templates.
- Configuration of IAM roles, policies and permissions to ensure secure access control.
- Patch management, backup automation and disaster recovery setup on AWS infrastructure.
- Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
- Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
- Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
- Configuration of AWS CloudWatch to monitor application performance and system events.
- Planning and execution of migration of on-premises applications to AWS cloud platforms.
- Deployment of containerized applications using Docker and Kubernetes in AWS environments.
- Deployment of internal software packages between availability zones using AWS CodeDeploy.
- Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Delly F.
Last position:
Dad of 2 daughters at Family
Rashid I.
Last position:
Java Developer at IT company
- Data transformations
- IT company with more than 100 employees
- Software production
- Data augmentation and normalization, image transformation, format conversion, merging data from multiple sources
- Toolset: Java, Helm, Kubernetes, Kafka, OpenCV, IntelliJ IDEA, Gradle, Git, Docker, Containers, Scrum
Discover over 15,000 top freelancers
Statistics of experts using Elastic Stack
Aggregated from the professional profiles of matched freelancers.
Experience
18 years
Position duration
1.5 years (Germany: 2.2 years)
Positions per freelancer
16 (Germany: 12)
Top business areas
Information Technology, Product Development, Operations
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
100% (Germany: 89%)
Master's degree or higher
57% (Germany: 51%)
Doctorate
14% (Germany: 8%)
Certifications per freelancer
7 (Germany: 4)
Most common languages
German, English, Russian
Speak two or more languages
100% (Germany: 96%)
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 Frankfurt 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.
Discover detailed Elastic Stack rate benchmarks:
Explore rate insightsAverage rates of experts in Frankfurt using Elastic Stack
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.
Elastic Stack 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%)
- Automotive (63%)
- Banking and Finance (63%)
- Healthcare (63%)
- Retail (63%)
- Transportation (50%)
- Pharmaceutical (50%)
- Professional Services (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Search and observability
Elastic Stack is a set of tools for collecting, indexing, searching and visualising data. Elasticsearch stores and queries structured and unstructured information, while Kibana turns it into dashboards, investigations and operational views. The stack is also widely known through the former name ELK Stack.
Core components
A complete implementation may combine Elasticsearch with Kibana, Logstash and Elastic Agents. Beats, Fleet, ingest pipelines and Elastic Common Schema help move and standardise data. Strong specialists understand mappings, analyzers, shards, replicas, lifecycle policies and access controls rather than treating the stack as a simple log archive.
What companies build
- Centralised application and infrastructure logging
- Search features for websites, products and internal knowledge
- Security monitoring with Elastic Security and detection rules
- Observability for services, containers and cloud environments
- Dashboards for operational, business and customer data
When expertise matters
Companies bring in freelance expertise when log volumes become difficult to search, search relevance needs improvement or dashboards no longer support reliable decisions. Specialists also help during migrations from the ELK Stack, upgrades, cloud adoption and the introduction of Elastic Observability or Elastic Security. In Frankfurt, remote delivery can work well alongside on-site workshops for teams that need close coordination.
Skills around Elastic
Effective work often connects Elastic Stack with Kubernetes, Docker, Linux, cloud services and infrastructure automation. Professionals may also work with Kafka, Terraform, Python, Java, REST APIs and CI/CD pipelines. They should be comfortable with data modelling, query performance, alerting, privacy controls and production operations.
Choosing a strong specialist
Look for someone who can explain why a mapping, shard strategy or ingest design fits the workload. A strong professional tests relevance and performance with representative data, documents dashboards and alerts, and plans retention and recovery clearly. Ask for evidence of reliable production rollouts, not only familiarity with Kibana screens or Elasticsearch query syntax.
Frequently asked questions
Not sure where to start with Elastic Stack? These answers cover the essentials.
Elastic Stack is used to collect, search and analyse logs, metrics, traces and other data. Companies also use it for website search, security monitoring, operational dashboards and investigative workflows.
Elastic Stack is often compared with Splunk and OpenSearch for log analytics and observability. The right choice depends on search requirements, existing skills, licensing preferences, managed services and the depth of security or monitoring features needed.
A strong Elastic Stack specialist may also understand Linux, Kubernetes, cloud infrastructure, Kafka, Terraform and CI/CD. Experience with REST APIs, Python or Java helps when integrating applications, automating operations or building custom data pipelines.
The required experience depends on the scope. A basic dashboard may need focused Kibana knowledge, while a production rollout calls for expertise in index design, ingestion, security, lifecycle management, scaling and recovery.
Yes, many Elastic Stack tasks can be completed remotely through shared repositories, secure environments and structured workshops. Frankfurt-based teams may still prefer on-site sessions for discovery, access planning or collaboration with operations and security groups.
Before designing Elastic Stack, a specialist should clarify data sources, retention needs, query patterns, security boundaries and expected failure scenarios. They should also review current mappings, ingestion paths and dashboard usage instead of assuming that an existing ELK Stack configuration is fit for purpose.
Review whether the professional can connect technical choices to measurable operational needs without relying on vague claims. Good work includes clear data models, tested ingestion, useful dashboards, controlled access, documented alerts and a recovery approach that the internal team can maintain.
An Elastic Stack freelancer may deliver ingestion pipelines, index templates, dashboards, alert rules, search features, security detections or migration plans. The final handover should include documentation, configuration management and guidance for monitoring the system in production.
The average hourly rate of freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects is 98 €, which corresponds to a daily rate of about 784 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects, 100% hold at least a Bachelor's degree, 57% hold at least a Master's degree, and 14% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are German (100%), English (100%), and Russian (25%).
The most common industries among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Automotive (63%), and Banking and Finance (63%).
The most common business areas among freelancers in Frankfurt, Germany who have used Elastic Stack in their recent projects are Information Technology (100%), Product Development (88%), and Operations (75%).
Main locations of FRATCH Experts, who have recently used Elastic Stack
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.
Berlin 
Munich 
Cologne 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
