Bitbucket Experts in Berlin

• Led development of 15+ microservices (Java 17, Spring Boot) driving customer interactions; migrated from on-prem to GCP Kubernetes, improving scalability and reducing infra cost by 20%.
• Optimized user services with CouchDB caching and API refactoring, cutting response times by 35% and enhancing customer experience.
• Implemented canary deployments, FluxCD GitOps, and CI/CD optimizations in GitLab, reducing release lead time by 25% and enabling zero-downtime rollouts.
• Set up Grafana health checks and Anodot alerts for latency, error, and throughput monitoring, reducing MTTR by 40%.
• Built secure APIs using OAuth2, DPoP, and Gatekeeper, integrated REST and GraphQL, and achieved 90%+ test coverage with unit and E2E tests.
• Mentored junior developers, promoted Agile best practices, and collaborated cross-functionally to deliver high-impact, reliable customer-facing features.

• Led the end-to-end delivery of enterprise full-stack web applications by driving requirement analysis, solution design, frontend and backend development, database design, API integration, code reviews, team coordination, Agile execution, CI/CD deployments, production support, performance optimization, security implementation, and stakeholder collaboration to deliver scalable, high-quality software solutions.

• Designed and developed AI-powered document processing solutions using Python, OCR, NLP, and Large Language Models (LLMs) to automate extraction, validation, and classification of financial documents, reducing processing time by 75%.
• Built intelligent multi-stage workflow automation pipelines integrating AI services, machine learning models, and enterprise systems to streamline financial operations and improve data quality.
• Developed reusable AI-driven transformation frameworks capable of processing structured and unstructured document formats (XML, CSV, JSON, TXT, DAT) and normalizing them into unified business schemas.
• Designed and developed Python-based REST APIs and backend services supporting enterprise finance applications and high-volume data processing workloads.
• Built scalable data synchronization pipelines between Oracle CFIN and SQL databases, incorporating machine learning models for cash-flow forecasting and AP/AR anomaly detection.
• Architected and deployed Apache Airflow workflows to orchestrate AI-powered data pipelines, automating end-to-end processing from document ingestion through financial system integration.
• Led the migration of critical enterprise integrations from MuleSoft to Python-based services, improving maintainability, performance, and operational flexibility while preserving complete data integrity.
• Managed the full API lifecycle including solution design, implementation, documentation, deployment, monitoring, and production support for mission-critical financial systems.
• Collaborated directly with finance stakeholders to identify business challenges, define solution requirements, and deliver measurable operational improvements through automation and AI-driven workflows.
• Worked closely with cross-functional engineering and business teams to rapidly iterate on features, improve processes, and drive successful adoption of AI-enabled solutions.
• Provided technical leadership through architecture reviews, technology decisions, code reviews, and engineering best practices across integration and automation initiatives.
• Mentored developers, established coding standards, and contributed to improving software quality, maintainability, and delivery effectiveness across projects.
• Provided production support during critical month-end and quarter-close financial processes, performing root-cause analysis and implementing rapid fixes to ensure system reliability and data accuracy.

• Developed an accessible, responsive website based on Figma designs for a major sports event in compliance with WCAG, BITV and EN 301 549
• Planned and set up the tool stack with Vite, Playwright, Docker and GitLab CI
• Worked on two existing projects (Vue.js & Nuxt), focusing on bug fixing, accessibility audits and developing new features
• Collaborated with Design and QA to consistently implement accessible UI patterns
• Advised on improving existing frontend architectures in terms of accessibility, performance and maintainability

• IT training in theory and practice for IT specialists in application development and system integration

The MiDAS program aims to integrate Generative AI across the entire BBM organization. My role is to enable the eBike division to adopt and leverage Generative AI by collaborating closely with the MiDAS team in India.

Management:

• Enable the eBike division to adopt GenAI through tailored solutions.
• Collaborate with the MiDAS team in India to design solutions for Generative AI use cases specific to the eBike division.
• Coordinate with the eBike teams to integrate GenAI systems, tools, plugins, and services provided by the MiDAS team.
• Plan roadmaps with eBike and MiDAS India team Product Managers for the delivery and integration of Generative AI solutions.

Responsibilities: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.

Activities:

• Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
• Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
• Developed automated data pipelines with Python, dbt, and GCP services for various data sources
• Built monitoring and alerting systems for real-time platform monitoring
• Implemented data versioning and quality checks at every layer
• Designed automated testing and deployment pipelines in GitLab and Bitbucket

Achievements:

• Doubled production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
• Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, reducing configuration errors to 0
• Delivered a complete end-to-end data platform at ~10 €/month in infrastructure costs
• Migrated 7 database tables with 0 downstream issues
• Removed 100 % of exposed credentials, eliminating dependency on external vendors
• Delivered 3-team integration in 1 sprint

• Worked on ideation phase through deployment; managed the team and implemented the core architecture
• Developed Firsty Travel eSim: native eSIM installation with a single click; seamless user authentication; real-time data synchronization; intuitive user interface design; advanced security protocols; integration with third-party services; high performance and scalability
• Developed WIO Business banking app: spend, save, invest, and control entire transaction process
• Technologies: Flutter, iOS, Android Studio

• Reimagine digital publishing by building a next-generation CMS ecosystem for our portfolio of web magazines, powered by an intelligent AI companion that augments journalistic creativity and decision-making. From real-time trend discovery and data-driven topic ideation to research, writing, refinement, and seamless publishing, the platform will transform how stories are created—enabling faster, smarter, and more impactful journalism while preserving editorial voice, integrity, and human oversight.
• Successfully launched the first two brands on the new CMS platform, establishing a scalable foundation
• Prepared three additional brands for migration and launch, aligning design, SEO, and technical requirements
• Established a unified CMS and AI-supported editorial workflow across multiple digital publications
• Enhanced journalist productivity and focus by automating repetitive tasks and supporting creative processes
• Improved speed, consistency, and quality of content delivery across the portfolio

• Architected RESTful APIs and microservices using .NET Core.
• Designed and managed SQL Server and Cosmos DB databases.
• Developed responsive frontends with Angular, Bootstrap, and TypeScript.
• Deployed and managed Azure cloud infrastructure.
• Implemented unit tests for both backend and frontend modules.

• Implemented a command line interface (CLI) for integration of REST APIs of various microservices for end users
• Centralized and simplified interaction with services through the CLI
• Implemented a REST microservice for custom data schemas based on an API-first approach
• Developed event-driven control with RabbitMQ to connect to other services
• Deployed services using Docker and Kubernetes and extended the CLI
• Managed complexity and data volume handling through the microservice

• Leasing, lifecycle and process management for Apple iPhones, maintenance and expansion of the MDM system, coordination of leasing, device integration into DEP and MDM, followed by a rollout and hardware swap process, plus a BYOD and Android option
• Migration of the IT ticket system from ManageEngine ServiceDesk Plus to Atlassian Jira Service Management: project management, definition of ticket types, seamless execution according to a detailed timeline, user communication, decommissioning of the old system
• Project lead: SAP interface in workforce management to automate reading of working hours
• Sub-project lead for inventory software EZO AssetSonar: demand management, software selection, procurement

• Optimized the Amp healthcare app alongside a senior developer, specifically enhancing data caching mechanisms which led to a 25% improvement in load times.
• Applied MVI architecture, resulting in a 30% decrease in bugs and streamlining testing processes.
• Implemented CI/CD with Bitrise, reducing deployment sizes from 120MB to 104MB.
• Led the migration of 40% of the Java codebase to Kotlin.
• Achieved 85% unit test coverage.

• Developed a SolidJS frontend UI for a spectrometric water analysis system on an ARM-based embedded Linux platform
• Prototyped UI in TypeScript React/Nx with LitElements and MQTT integration
• Built production UI using SolidJS, SUID, i18next, Ajv, MQTT.js, C3.js
• Refined requirements with UX team and water analysis system engineers
• Defined and documented system architecture, MQTT message formats, frontend architecture, and development setup
• Set up frontend system from scratch, implemented domain-oriented type system, UI components, and application state
• Managed MQTT pub/sub services and schema-based message validation in frontend
• Coached two junior frontend developers
• Worked in an agile remote team using JIRA, Git, and Bitbucket