Case Study: Real Estate Investment Platform

Role: Backend & DevOps Engineer
Stack: Node.js (NestJS), TypeScript, MongoDB Atlas, AWS CDK, Docker, GitHub Actions

1. The Challenge

A central platform for managing complex master data was required for a client in the financial and real estate investment sector. The challenge was to create an architecture that guaranteed high data integrity while remaining flexible enough to seamlessly integrate existing data science services for specialized analysis.

2. Technical Contributions

In this project, my focus was on bridging the gap between backend logic and automated infrastructure provisioning:

API Design & System Integration

I played a key role in the design and development of RESTful interfaces using NestJS. A core part of the project involved the technical integration of external data science services to make specialized analysis results available within the master data management system. Additionally, I supported the frontend integration using React.

Infrastructure as Code with AWS CDK

Unlike traditional Terraform-based approaches, AWS CDK was used for this project. I developed the necessary constructs to programmatically define AWS resources and the MongoDB Atlas environment. This also included setting up CI/CD pipelines with GitHub Actions, which automated the entire build and deployment process, including Docker containerization.

Database Management & Security

I was responsible for the administration of the MongoDB Atlas environments, adhering to strict IT security standards. My responsibilities included:

  • Conceptualizing backup strategies and implementing disaster recovery processes.
  • Executing complex data migrations between different system environments.
  • Continuous query optimization to ensure high performance for master data management as data volumes grew.

Quality Assurance & Documentation

Beyond implementing unit, integration, and E2E tests, I created technical design documents and a developer handbook to ensure the long-term maintainability of the system by the client’s internal team.

3. Outcomes & Impact

  • Stable Platform Foundation: Successfully delivered a high-availability infrastructure that serves as a "Single Source of Truth" for real estate financial data.
  • Automated Software Lifecycle: Established a fully automated deployment chain through the strategic use of AWS CDK and GitHub Actions.
  • Secure Data Management: Implemented robust security and backup procedures meeting the financial industry's requirements for data protection and system resilience.
  • Efficient Knowledge Transfer: Detailed documentation and architectural blueprints enabled a seamless handover and future development of the system.