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Agile Delivery Lead

Clarify dependencies between teams and align development, releases and operations. The focus is on collaboration between development, architecture, operations and business departments.

Project experience

05/2021–06/2026

Cloud transformation in payments

AirPlus International

Scrum Master · Delivery Lead · DevOps Manager

Phased replacement of mainframe-based payment functions with cloud microservices.

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Responsibilities & contribution

Responsibilities covered ABE, 3PP, UATP and AirPlus Intelligence during their respective assignment periods.

Clarify technical requirements with stakeholders, translate them into user stories and agree the specifications with the teams.
Address impediments, facilitate Scrum events and contribute to PI Planning.
Support delivery and ongoing operations, manage incidents with ServiceNow and address security vulnerabilities continuously.

Results

ABE, 3PP and UATP: Phased cloud migration completed; production mainframe operations within the described scope replaced by mid-2026.
AirPlus Intelligence: Prototype completed and initial services enabled for selected customers; responsibility subsequently handed over.

ABE – AIDA Backend

Responsibility period: 05/2021–06/2026

Processing requests from CRM and the portal, passing them to downstream systems, and managing the status of virtual and physical cards.

3PP – Third Party Processing

Responsibility period: 05/2021–06/2026

Information exchange between AirPlus and external card and processing partners.

UATP

Responsibility period: approx. 05/2021–05/2022 and 02/2025–06/2026

Phased replacement of mainframe-based communication with the UATP card system using microservices.

AirPlus Intelligence

Responsibility period: 01/2023–01/2024

New BI-based information services: capture existing functions, integrate data sources and develop additional offerings through to a prototype and initial customer enablement.

Used in the project

Planning & collaboration: Jira, Confluence, Microsoft Teams, Miro, TeamRetro
Development & operations: Jenkins, ServiceNow, Grafana, NeuVector
Cloud & data: Microsoft Azure, Kubernetes, Kafka, SQL

TeamRetro used extensively for retrospectives; CVEs reported by NeuVector incorporated into vulnerability remediation.

05/2020–12/2020

MOSAIK – ticket inspection and revenue protection

DB Vertrieb, Frankfurt am Main

Agile Business Analyst · Proxy Product Owner · Deputy Scrum Master

Structure requirements for mobile ticket inspection and revenue protection, and coordinate them across several teams; also support and stand in for Product Owners and Scrum Masters.

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Structure requirements for a mobile replacement platform for ticket inspection and revenue protection, and coordinate interfaces with mobile devices, printers and payment terminals. Support Product Owners and Scrum Masters in an organisation with multiple Scrum teams. Use Cucumber primarily for test specifications.

Used in the project

Planning & collaboration: Jira, Confluence, Microsoft Teams, Microsoft Office
Analysis & modelling: Enterprise Architect
Development & operations: Cucumber

03/2018–03/2020

Herd management web portal

GEA Farm Technologies, Bönen

Product Owner · Solution Architect · Business Analyst

Further development of a cloud-based web platform for herd management and farm processes.

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Analysis and structuring of functional and non-functional requirements, roadmap alignment, and definition of epics and user stories. Collaboration with distributed development teams, product management and pilot customers. The portal supported the planning and recording of animal-related activities, as well as data exchange with mobile applications and IoT systems.

Used in the project

Planning & collaboration: Jira, Confluence, Microsoft Teams, Microsoft Office, Wiki
Development & operations: Java, Docker, Ranorex
Cloud & data: AWS, OTC, Windows

12/2016–03/2020

Cloud integration for local equipment control

GEA Farm Technologies, Bönen

Product Owner · Solution Architect · Business Analyst

Cloud and IoT platform for synchronising local equipment control with FarmNet cloud processes.

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Analysis of requirements from existing systems and local equipment control, translated into epics and user stories. Structuring of the microservices implementation with the development team; support for test management and further development. A Windows client and an IoT cloud service connected local equipment control to FarmNet and synchronised measurements and animal-related activities.

Used in the project

Planning & collaboration: Jira, Confluence, Microsoft Teams, Microsoft Office, Wiki
Development & operations: Java, Docker, Ranorex
Cloud & data: AWS, Windows