Elasticsearch Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used Elasticsearch
Hooman Behmanesh
Last position:
Fullstack Developer at Möbel Roller GmbH
- Further development of the existing e-commerce platform based on SAP Commerce (Hybris) to meet the growing demands of digital commerce.
- Ensuring the scalability and performance of the backend, so the platform remained stable and efficient even under heavy user load.
- Development and integration of new OCC REST APIs and services for modular extensions and flexible adjustments, to implement new features quickly.
- Optimization of data flows and interfaces, which significantly improved platform efficiency and system performance.
- Ensuring a maintainable and scalable code base by using Clean Code principles, proven design patterns, and a future-proof architecture.
- Reduction of errors through extensive testing with JUnit, Mockito, and load tests with Gatling, supported by the introduction of automated test processes.
- Improved system performance through targeted refactoring measures and efficient database queries, especially to handle peak loads.
- Use of modern cloud and monitoring tools such as Kubernetes, Google Cloud Platform (GCP), and Grafana to ensure a stable and monitored infrastructure.
- Clear improvement in efficiency, scalability, and reliability of the platform, which now meets the demands of a dynamic and growing e-commerce market.
Henning Uiterwyk
Last position:
Senior Expert Data Governance, Master Data Quality and Data Migration at E.ON
- Planning and implementation of a migration strategy for master and transaction data for the continuous loading of a cloud-independent database
- Creation and pilot implementation of a company-wide Business Data Model for customers, suppliers, contracts, products, prices, consumption, invoices, and dunning
- Concept and consulting for a Data Governance Framework incl. definition of committees, roles, processes, and metadata model
- Operationalization of the Data Governance Framework with definition of data standards
- Sub-project management in two pilot projects (PoCs) for Data Governance systems (ErwinDIS and Atlan)
- Training and coaching the data team in migration, data quality, and data modeling
Christoph Sawicki
Last position:
Test Manager at Logistics
- Coordination and planning, execution, documentation, and analysis of test cases
- Development of test concepts considering best practices (e.g., test pyramid) with a focus on reliable, automatable test runs
- Implementation and maintenance of test cases according to the test concepts
- Technologies: Citrix Workspace, Shopify, Jira, Xray, MS Teams, MS SharePoint, Confluence, MS Office 365
Marc Smyk
Last position:
Fullstack Developer at PLANT-MY-TREE
PLANT-MY-TREE®-per-order
The application enables Shopify merchants to automatically place tree-planting orders for every incoming order. By integrating ecological contributions directly into the purchase process, the manual effort for tracking and billing reforestation initiatives is eliminated. The system increases transparency for end customers through real-time visualizations of the ecological impact directly in the storefront. The architecture is based on a modular monolith with Spring Boot in the backend and an integrated React app inside the Shopify admin area. The solution uses webhooks to capture order data in an event-driven way and integrates the weclapp ERP system for automated monthly invoicing. An app proxy mechanism provides dynamic statistics such as CO2 compensation and planted trees without any performance loss for the merchant shop.
Tasks:
- Design of the modular software architecture based on Spring Modulith to ensure high maintainability
- Development of the event-driven business logic for evaluating Shopify orders via webhooks
- Implementation of automated invoicing by connecting the weclapp REST API
- Building the frontend using React Router and Shopify App Bridge for native integration
- Design of the database model and implementation of the persistence layer with JPA/Hibernate and Prisma
- Integration of internationalization processes for global use in the frontend and email communication
- Automation of deployment processes using Docker and GitLab CI/CD
Project skills: Java 25, Spring Boot, Spring Security, Spring Modulith, Hibernate, JPA, REST API, PostgreSQL, Maven, Liquibase, React, TypeScript, React Router, Vite, Node.js, Prisma, Zod, Docker, Docker Compose, GitLab CI/CD, Shopify CLI, Shopify App Bridge, Polaris, weclapp, i18next, Lombok, Vitest
Maurice Hartwig
Last position:
Senior Product Owner at Hydra Lynx Ltd
- Brought together AI initiatives through central coordination and integration of artificial intelligence projects to increase efficiency and business value.
- Identified and prioritized AI use cases through business process analysis and translated them into structured product backlogs and roadmaps.
- Led change management activities, including the rollout of new digital tools, communication strategies, and training concepts to support cultural change.
- Managed requirements and processes through end-to-end requirements analysis, process modeling, and organizational optimization.
- Scaled agile practices (Scrum, Kanban, OKRs) and promoted cross-functional collaboration and continuous improvement.
- Supported company-wide digital transformation by leading technical change initiatives and strengthening collaboration models.
Yannick Tessa
Last position:
Cloud Architect at Anonymous
- Implementation of Infrastructure as Code (IaC) with Terraform to ensure a scalable, repeatable, and secure Azure infrastructure
- Implementation and optimization of CI/CD pipelines with Azure DevOps
- Management of container and server environments and AKS
Manuel Schneider
Last position:
Project Manager at Univention
Industry: digital sovereignty, public sector
Content:
- Project steering (teams: consulting, development, testing, deployment/operations)
Products and standards:
- Jira, Confluence, Asana, Miro, Mural
- Open Source, Keycloak, Open Xchange, ownCloud
Predrag Perovic
Last position:
Test Developer | Test Automator at CreditReform
Technologies: Java 25, Selenium, Insomnia, SSO, GitLab, Jenkins, Docker, Kubernetes, Jira, IntelliJ, Nexus, Oracle, MariaDB, Spring Boot, Grafana, Concept Board, Vue.js, OpenAPI, Kotlin. Implementation, maintenance, and extension of automated end-to-end regression tests for UI and API interfaces. Appropriate and targeted test automation across multiple software products, including Java-based Windows applications. Automating business processes with Selenium, reset jobs, and DB import jobs, as well as creating test concepts, test case descriptions, and structured bug reporting.
Alexander Vasiliev
Last position:
Senior DevOps / Platform Engineer at Kaufland e-commerce / real.digital (ex hitmeister.de)
- Evolved the platform from bare-metal infrastructure with a monolithic PHP application to a hybrid Google Cloud architecture with Go microservices on Kubernetes
- Managed and scaled a production infrastructure with 300+ VMs and dozens of clusters, including MySQL, PostgreSQL, MongoDB, RabbitMQ, Redis and Elasticsearch clusters
- Designed architecture, deployment, monitoring, performance analysis, and upgrades for all platform services using Terraform and Ansible
- Migrated observability systems from ELK and Prometheus to Datadog, managed with Terraform
- Introduced Jenkins CI/CD with SonarQube integration and automated tests to speed up feedback cycles
- Containerized the testing environment and implemented GitLab CI pipelines for Docker image builds, static code analysis, and infrastructure tests
- Performed zero-downtime migrations of MySQL and MongoDB clusters to Google Cloud
- Developed reusable Ansible roles for database clusters and automated data obfuscation for staging environments
- Decomposed monolithic databases and migrated to microservice architectures
- Built tools to detect and optimize slow queries in MySQL and MongoDB
- Conducted online schema migrations with pt-online-schema-change without downtime windows
- Developed internal Go applications for batch queries, GitLab-Jira integration, and MongoDB backup recovery
- Technologies: Debian, Ubuntu, Alpine, Go, Bash, Python, PHP, SQL, GitLab CI, Jenkins, Drone CI, MySQL, MongoDB, PostgreSQL, Redis, Elasticsearch, RabbitMQ, Kafka, Docker, Kubernetes, Nomad, Ansible, Terraform, Grafana, ELK, Prometheus, Datadog, Nagios, Zabbix, Nginx, HAProxy, Vault, Helm, SonarQube, Filebeat, Auditbeat, Google Cloud, AWS
Pierre Gronau
Last position:
Ansible Automation, Windows Third Level Support at DB InfraGO AG
- PRISMA project
- Ansible automation
- Windows third level support for Windows NT, Windows 2000, Windows 2013, Windows 2016, Windows 2019
Jacqueline Haefke
Last position:
Kitchen Appliance Manufacturer
Setting up and enhancing an international subscription management system
Migrating and decommissioning a Hybris-SAP system and integrating Zuora
Implementing numerous interfaces to various systems (external and internal)
Setting up and improving monitoring with Grafana, Prometheus, and Databricks
Introducing logging with Loki
Implementing business requirements using jQuery, Thymeleaf, Spring Boot, Java, Go, and Python
Adjusting and extending the GitLab CI pipelines
Setting up and extending infrastructure as code with Terraform and ArgoCD on AWS
Setting up and running E2E and performance tests
Expanding the Databricks business intelligence solution to provide various KPIs
Responsibilities: Architecture, DevOps, development, unit tests, coaching employees and apprentices, E2E, smoke, and integration tests, agile methods consulting (Kanban, Scrum)
Technologies and methods: Java, Go, Kotlin, Node.js, Spring Boot, SOAP/REST, Quarkus, Thymeleaf, Vaadin, Slack, Jira, Confluence, IntelliJ, GitLab, SQS, Kafka, AWS, Kubernetes, Terraform, Maven, Gradle, GitLab CI, Databricks
Allal Kharaz
Last position:
Java Senior Full Stack Developer at Insurance ÖRAG
- Further development of a policy administration system (contract/claims) for the legal expenses insurer ÖRAG.
- My role: Senior Software Developer.
- The team consists of 12 developers.
- Technologies used: Java 8/21, Java EE, Quarkus, WebLogic, JPA, RabbitMQ, JTA, CI, CD, Jenkins, DB2, Maven, Jenkins, GIT (bitbucket) later GitLab, Junit, Elasticsearch, Mockito, Jira, SonarQube, Scrum, React, Workflow
- Migration and modernization of legacy systems: rewrote C and C++ code in Java to improve maintainability, scalability, and performance. Refactored Python into Java, including optimization and integration into modern architectures.
- Study on the use of AI (Codex) for implementing a Java feature. The goal is to compare the time spent and productivity of AI-supported development with a classic implementation by a developer. The results should show how strongly the use of AI affects development time and efficiency.
- Development of the following tariff calculators for the years 2024/2026: private, companies, doctors, farmers, owner-occupied G + H, landlords, traffic, club, top managers, sales representatives, special criminal law, savings bank, municipal, BayGT, doctors, Dehoga
Discover over 15,000 top freelancers
Statistics of experts using Elasticsearch
Aggregated from the professional profiles of matched freelancers.
Experience
19 years (Germany: 18 years)
Position duration
1.5 years (Germany: 2 years)
Positions per freelancer
18 (Germany: 13)
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Transportation, Retail
Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
29% (Germany: 48%)
Certifications per freelancer
4 (Germany: 2)
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 99%)
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 Cologne 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 Cologne using Elasticsearch
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
Search and analytics
Elasticsearch is a search and analytics engine used to find data fast across large, changing datasets. Companies use it for site search, product discovery, log analysis, alerting, and dashboards. It fits teams that need quick answers from text, events, or documents.
Core skills
A strong specialist works with indexes, mappings, analyzers, queries, aggregations, and shard design. They understand how Elasticsearch fits into the Elastic Stack and older ELK setups with Kibana and Logstash.
- Relevance tuning and query design
- Index modeling and mapping strategy
- Aggregations, filters, and scoring
- Cluster health and performance checks
When to bring in help
Freelance expertise helps when search feels slow, results look wrong, or a cluster needs a safer setup. Teams also bring in specialists for migrations, version upgrades, schema changes, and production troubleshooting. In Cologne, this often suits software teams, e-commerce, media, logistics, and enterprise search projects that need focused support.
Common delivery work
Elasticsearch professionals often build search backends, document pipelines, log search, and observability views. They may also help connect application data, APIs, or event streams so teams can search and analyze information in one place. Clear work usually includes design notes, tested queries, and a stable deployment plan.
What good specialists do
Good specialists think in data shape, query behavior, and operational safety. They watch for slow shards, noisy mappings, bad analyzers, and poor scoring logic before these turn into user-facing problems. They also work closely with product, backend, and ops teams to keep search useful as data grows.
Local collaboration
For Cologne-based work, Elasticsearch experts often support hybrid teams and remote delivery. German communication helps for stakeholder sessions, but many technical tasks can be handled remotely if access and ownership are clear. That makes it practical to bring in focused help for specific phases without changing the whole team.
Frequently asked questions
The facts hiring teams ask for most often when it comes to Elasticsearch.
Elasticsearch is used to search text, filter large data sets, and run fast analytics on documents and events. Teams use it for product search, log exploration, observability, alerting, and internal knowledge search. It is a strong fit when users need quick, relevant results instead of simple database lookups.
Elasticsearch is built for full-text search, scoring, and aggregations at scale, while a relational database is usually better for transactions and strict relational data. You can search in a database, but relevance tuning, fuzzy matching, and faceted search are usually easier here. Many teams keep the source data in a database and index it into Elasticsearch for search features.
Elasticsearch is the search engine at the center of the Elastic Stack. ELK usually refers to Elasticsearch, Logstash, and Kibana, although many teams now use the broader Elastic Stack name. A freelancer should know how the pieces fit together, not just the search engine alone.
A strong Elasticsearch specialist usually knows JSON query DSL, data modeling, API work, and basic operations around Linux and containers. For search-heavy projects, experience with Kibana, Logstash, Beats, and application-side indexing logic is useful. If the role includes relevance work, text analysis and ranking logic matter too.
Elasticsearch projects need more than basic installation knowledge when search quality or cluster stability matters. Simple proof-of-concepts can start with a generalist, but production search, upgrades, and tuning need someone who has handled mappings, shards, queries, and failure cases before. The more data and traffic you have, the more valuable that depth becomes.
Yes. Elasticsearch work is often well suited to remote collaboration because most tasks happen through code, mappings, queries, and cluster settings. For Cologne teams, a local specialist can still join on-site workshops when product search, stakeholder alignment, or incident reviews benefit from direct discussion.
Look for evidence that the Elasticsearch freelancer has handled real search behavior, not just basic setup. Good signs include clear decisions about mappings, analyzers, relevance, aggregations, and operational monitoring. Ask how they would diagnose slow queries, poor results, or cluster issues in your own environment.
Elasticsearch is not the best choice for every problem. If you mainly need strict relational joins, complex transactions, or a small internal dataset with simple filtering, another system may be simpler. A good specialist should be honest about fit and explain when a database search, dedicated search service, or another analytics tool is enough.
The average hourly rate of freelancers in Cologne, Germany who have used Elasticsearch in their recent projects is 102 €, which corresponds to a daily rate of about 813 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Elasticsearch in their recent projects, 100% hold at least a Bachelor's degree and 29% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Elasticsearch in their recent projects have 19 years of professional experience, with a single engagement typically lasting around 1.5 years.
The most common languages among freelancers in Cologne, Germany who have used Elasticsearch in their recent projects are German (100%), English (100%), and French (17%).
The most common industries among freelancers in Cologne, Germany who have used Elasticsearch in their recent projects are Information Technology (100%), Transportation (75%), and Retail (75%).
The most common business areas among freelancers in Cologne, Germany who have used Elasticsearch in their recent projects are Information Technology (100%), Product Development (92%), and Quality Assurance (75%).
Main locations of FRATCH Experts, who have recently used Elasticsearch
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 
Hamburg 
Munich 
Frankfurt 
Leipzig Request a free demo
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Philipp Thomaschewski
FRATCH CEO
