Maurice

Duration: August 2023 – August 2024

Role: Senior Solution Architect for big data IoT application

Size of team: 12 software developers, 15+ stakeholders representing functional requirements

Link(s): not public, internal software

Technologies used: Java 21, Spring Boot, microservices, OpenAPI REST, Junit 5, Azure Cloud, CosmosDB NoSQL, Azure Stream Analytics, Azure Event Hub, Azure Databricks, Grafana, Apache Flink, EntraID, Kubernetes, Docker, git, Confluence, Azure DevOps, CI/CD, Cumulocity IoT Methodologies used: SAFe, teamscale code quality gates, DevOps

• Analysis of complex IoT remote monitoring application for multinational wind turbine manufacturer processing up to 100k events per second
  • In depth analysis of existing microservices, interfaces and data flows of existing on-premise solution
  • Creating concepts for new solution comprised of Azure cloud services with the goal to increase scalability, stability and reliability of existing monitoring application solution at 10x
• Proposing new solution to high level management and providing timeline for possible migration project “on-prem to cloud” for 10x solution
• Got management approval to guide software development team as Solution Architect through the implementation phase of proposed Azure cloud solution
  • continuous monitoring, planning and refining architecture for development team during implementation and testing phase

Duration: August 2022 – July 2023

Role: Senior Expert Big Data Solution Architect for big data application solution

Size of team: 4 software developers, 10+ stakeholders representing functional requirements

Link(s): not public, internal software

Technologies used: Java 17, Quarkus Framework, Camunda 8 Workflow Engine, OpenAPI, Junit 5, Hazelcast InMemory Grid, Grafana, Prometheus, Apache Kafka, Spring Statemachine Kubernetes, Helm, Docker, Confluence Methodologies used: SCRUM, clean-code, sonarqube code quality gates, DevOps

• Designed and built data model for big data software application handling the billing of billions of items for German Governmental Health Insurance Service

  • Translation of functional requirements into tech. requirements & data model

  • Conceptualizing of in-memory data structure to handle billions of entries with high throughput and high reliability

  • Selected suitable tech. components and built tech. stack for first Proof of Concept for evaluation purposes

  • Implemented and ran benchmarks for different processing and workflow control technologies (Camunda 8, Spring Statemachine, etc.)

  • Evaluation of performance tests for millions of data points to validate performance of chosen and validated tech. stack

• Software design of microservice in-memory application and Proof of Concept implementation

• Data architecture and persistence of historical data

• Implementation & Proof of Concepts with different technologies, measuring access times to evaluate if the solution would work on hundreds of millions of data points.

Duration: October 2020 – August 2023

Role: Senior Java Enterprise Developer; REST-API software architect

Size of team: 4-6 Frontend & Backend Developers

Link(s): → OnlineService Link

Technologies used: Java 11 & 17, OpenAPI Spec, OpenAPI Generator, Liquibase, Quarkus, Oracle DB, SAP Open Data Protocol (Odata) API, Wiremock2+3, REST API, AngularJS, Gradle, Typescript, Docker, Kubernetes, KeyVault, Linux, GIT, GitLab, CI/CD, Kibana, AzureDevOps, Azure Arifacts, Amazon Cognito (IDP), REST-assured and Cypress tests, OWASP security check, microservice architecture, MuleSoft Anypoint, DataDog Methodologies used: SCRUM, clean-code, OWASP security, DevOps

• Design, architecture and implementation of public high performance Java OnlineService API micro service as intermediary between the AngularJS frontend for customer facing data representation (OpenAPI) of the RE online services and the SAP ERP backend (Odata API) for customer authentication, storing customer and contract information

• Built and maintained Java Backend microservice serving up to 1 mio. customer requests for online service

• Secured the micro service with state of the art security measures (OWASP) and implementation of API data validation to prevent fraud and data breach

• Requirements engineering of business services with the help of skilled RE workers. Optimizing, implementing and verifying existing and new business services and functions within the java micro service.

• Greatly improved service reliability by automatically monitoring metrics (AWS Kibana), implementing fixes and improvements for the software. Deployment of new software releases to production environment.

• Developer discussions and peer review of source code to maintain high software quality

• Implementation of frontend (cypress) and backend (postman REST lib) tests