Bitbucket Experts in Berlin

• 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.

• 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.

Tasks: 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 different data sources
• Built monitoring and alerting systems for real-time platform monitoring
• Implemented data versioning and quality checks at every layer
• Designed automated test and deployment pipelines in GitLab and Bitbucket

Achievements:

• 2× 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, configuration errors to 0
• Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
• Migrated 7 database tables with 0 downstream issues
• Removed 100% exposed credentials, eliminated external vendor dependency
• Delivered integration of 3 teams in 1 sprint

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

• Objective: Create a machine-readable dataset for aid applications that aligns with the new specialized procedure
• Rollout of the solution to first user groups
• Established a user feedback loop
• Released versions 1.0 and 1.1 based on first user feedback and improvements

• Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
• Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
• Orchestrated pipelines with Azure Data Factory
• Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
• Led the Data Engineering team (3 members) in a functional role
• Conducted workshops to optimize and stabilize the data platform and the development process
• Collected and prioritized new requests, maintained the product backlog
• Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural

• 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.

• ISMS and security concept for the Fabasoft e-file according to BSI 200-1/2, among others
• Structural analysis (A.1), modeling (A.3), and baseline protection checks (A.4)
• Preparation for OWASP penetration test, incident response plan, risk analysis
• DevOps Bitbucket, ARC42, IAM with Keycloak/AD, multi-tenant setup, DMS, SOC
• Emergency preparedness concept (BSI 200-4), operations and service concept (BSK), ITSM

• 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

• Developed high-performance APIs for SDK backend on JavaEE Web, iOS, and Android, improving application performance and scalability by 30%.
• Led system design, tech stack planning, and development, ensuring 98% uptime with strong code quality and automated tests.
• Implemented CI/CD pipelines with Jenkins and GitHub Actions, reducing release cycle time by 40%.
• Deployed cloud-native applications on AWS EC2 instances, ensuring 99% uptime and optimized performance.
• Delivered clean code with full unit, component, and integration test coverage, reducing defects by 25%.
• Collaborated across engineering, QA, and product teams to deliver secure, reliable solutions.
• Mentored team members, increased development efficiency by 20%, automated routine tasks, and contributed to hiring, growing team capacity by 15%.

• 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

• Management of interdisciplinary and international teams of approx. 20 people including team leads in the areas of sales and account management, vendor management, financial controlling and accounting, content management, call center
• Definition and monitoring of overarching company and team goals regarding the improvement of customer satisfaction as well as the expansion of the product offerings count, price competitiveness and conversion rates
• Regular coordination and alignment of company goals with the Group Management Board
• Development and multi-platform marketing of a new product from whiteboard to sales in the mid-single-digit million range within one year
• Negotiations with key partners regarding commissions, portfolio breadth and price competitiveness, improvement of operational processes and technical implications
• Improvement of the overall financial reporting structure
• Team development and coachings

• FPGA code conversion from AHDL to Verilog and SystemVerilog (Altera Cyclone)
• IDE: Intel Quartus Prime (Altera)
• Code simulation: QuestaSim
• Timing analysis