Elasticsearch Experts in Hamburg

Technologies: n8n, Notion, OpenAI API, Claude, MS AI Foundry, MS CoPilot Studio, MS CoPilot, LLM, Node.js, Vercel, LangGraph, PostgreSQL, pgEdge, pgvector, Docker, LangChain, Ollama, Open WebUI

• Continuous evaluation and prioritization of internal automation needs
• ~20 AI agents in active use: research, content pipelines, document processing
• 5 n8n workflows for automated data and process control
• Architecture built on the same principles as in customer projects: state management, event-driven orchestration, API integration
• Ongoing operation and further development

• Introduced a service management system
• Optimized processes
• Introduced an agile way of working
• Implemented and configured Atlassian Jira Service Management
• Prioritized features
• Coordinated with stakeholders and the business unit
• Managed the backlog and created user stories
• Managed the budget
• Coordinated a Scrum team
• Used Atlassian Jira and Confluence
• Used Microsoft Teams
• Worked with Scrum and Kanban

• Planning, steering, and monitoring the Corporate Responsibility Tech Enablement project for IT
• Concept and implementation of the EUDR (EU Deforestation Regulation)
• Concept and implementation of the Eco-Design Regulation
• Continued support of projects within the Corporate Responsibility strategy
• Definition and review of guidelines (e.g. governance, success metrics) and, if needed, analysis of issues and their solutions
• Overall project management, marketing, communication, and quality assurance for the projects
• Creation of the project plan including timeline/roadmap, budget, and resources
• Ensuring compliance with budget and deadlines
• Defining guidelines for project control, methods, and priorities
• Planning and tracking resources and effort, also together with other IT teams
• Evaluation of projects and preparation of results (reporting to management)
• Identification and reduction of risks
• Regular communication with stakeholders
• Steering internal and external stakeholders and service providers (Jira, Confluence, backlog management, task tracking, SharePoint, MS 365 platform etc.)
• Development of standards and process automation

Label: Azure Cloud, Jira, Confluence, Power BI, SAP BW, AWS, Miro, Bee360, Draw.io, SharePoint, MS 365 platform, Trello etc.

• Stack: SAP Commerce 2011 (B2C).
• Migrating the data from Stibo system to SAP Commerce Cloud.
• Mapping the data from Stibo system to SAP Commerce Cloud.
• Integrating hot folders to support multiple countries and languages.
• Integrating validation tools for migrated data and generating validation reports.

Expomate platform

• Built a cross-platform exhibitor inquiry management app using React Native and RoR 8, leveraging RESTful APIs, Solid Queue for background job processing, and Devise for authentication on the backend, with Redux and AsyncStorage for state management and local data persistence.

TaskINT platform

• Developed a unified platform for task execution, time tracking, invoicing, client relations, and staff management using RoR 8 and React.js, utilising RESTful APIs, Sidekiq for background jobs, and Zustand for state management and WebSockets for real-time data sync, with 300+ users onboarded across 5 clients.

• Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
• Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
• Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
• Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
• Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
• Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
• Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
• Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
• Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
• Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
• Integrated testing and CI/CD workflows for robust data pipeline deployment.

• Extended the document management system with a standard CMIS (Content Management Interoperability Services) interface
• Implemented CMIS core services like navigation, access rights, search, CRUD operations, and versioning in Java
• Implemented based on RESTful / OpenAPI services
• Delivered as a fat-jar and native container image
• Deployed on-premises and serverlessly as an Azure Container Application using Terraform
• Improved team autonomy through infrastructure engineering and short feedback loops
• Established observability with OpenTelemetry, Azure Monitor, and Azure Logic Apps
• Introduced Terraform and trunk-based development processes
• Ensured quality with BDD tests in C# using SpecFlow and Testcontainers
• Created Azure DevOps pipeline integration tests
• Introduced cloud deployment processes
• Trained staff in cloud and Terraform

• Further development of the compliance products
• Role responsibility as a Senior Software Engineer
• Team size: 5 - 15 people
• Tools: TypeScript, Angular 18, Node.js, Nest.js, AWS, Kubernetes/Helm Charts/Docker, GitLab (CD/CI), Elasticsearch, MySQL, OpenAI, Java, RabbitMQ

• Heading API products and partnerships at Statista defining product vision and strategy, identifying partnership opportunities, launching integrations with key external partners.
• Launched a scalable API product portfolio within 3 months.
• Led the product strategy for Search, with a focus on intuitive data discovery and personalised user experiences.
• Driving cross-functional collaboration across Product, Design, Marketing, Sales, and Engineering to deliver high-impact solutions on schedule.

• Electronic logbook app developed for research centers to maintain their investigations.
• Emphasizes user-driven organization of communication: experiment groups can configure information structure and notifications, while principal investigators maintain full access control.
• Real-time integration with the facility’s metadata catalogue, control system Karabo, and data analysis tool enables the automatic logging of key events, complemented by manual entries as needed.

• Collaborating with developers, security, and operations teams to align requirements
• Supporting product owners and development teams in deploying logging and monitoring solutions based on the Elastic Stack
• Developing and standardizing log schemas as well as defining practical standards for observability
• Designing and further developing logging architectures for complex, distributed multi-tenant environments
• Connecting application and infrastructure logs as well as security tools and metrics
• Optimizing data flows and modeling for analysis and reporting purposes
• Building automated infrastructures using Terraform/Terragrunt and Ansible
• Maintaining and evolving CI/CD pipelines in GitLab as well as automated development environments in Hetzner Robot
• Operating and automating Proxmox clusters including Ceph storage
• Setting up and running Kubernetes (k3s) clusters on Fedora CoreOS including core services like Vault, OpenLDAP, and HAProxy
• Implementing security-critical infrastructures according to BSI basic protection and securing existing systems
• Supporting the operation of solutions in cloud environments (e.g., AWS)
• Working in agile teams following Scrum and Kanban
• Technologies/Tools: Elastic Stack (Elasticsearch, Logstash, Beats/Elastic Agent, Kibana), Terraform, Terragrunt, Ansible, GitLab CI/CD, GitOps, Proxmox, Proxmox Ceph, Kubernetes (k3s), OpenShift, Helm, Kustomize, Vault, OpenLDAP, HAProxy, Hetzner Robot systems, AWS, Prometheus, Grafana, Syslog Linux/Windows, Docker, NGINX, Apache Security & Compliance (BSI basic protection, SIEM/SOC)

• Responsible for the redevelopment of a billing and validation software for prescriptions to fully check and analyze e-prescriptions for correctness (content, billing)

• System consists of multiple contexts running as services (Docker containers):

• Checking and processing data deliveries via FTP and email

• Management of invoicing, clearings, deductions and offsets

• Management and execution of validation rules and test sets

• Analytics based on Metabase

• Developer Stack: Kotlin, Vue 3 / Vuetify 3, ANTLR, Spring Boot 3, REST API, Gradle, Docker, GitLab, PostgreSQL, Kafka, Keycloak, Scrum, Grafana, Loki, Testcontainers, Prometheus

• Environment: AWS, Ruby on Rails, GraphQL, React Native
• Penetration test for Backend, Android-App and iOS-App

• New calendar functions for the Christmas calendar
• Improved RMA handling
• Setup new Docker environment for the team