A modern, privacy-aware data pipeline that ingests fitness and nutrition data, applies AI-driven recommendations, and powers real-time dashboards.
Built to showcase scalable, production-grade architecture for analytics, machine learning, and compliance.
Core Capabilities
Architecture & Modularity
Data Quality & Governance
Privacy & Compliance
AI-Enhanced Features
Deployment & Tooling
This platform is part of an ongoing project to demonstrate high-quality, AI-integrated data architecture.
Client: Insurance (confidential)
Sector: Insurance Technology
Scope:
Designed and delivered a proof of concept (POC) pipeline to validate a scalable transformation approach using Azure-native tools and modern data architecture patterns.
The main question being whether semi-structured data could be transformed into a specific format with minimum custom logic.
Key Contributions
Result
Enabled the client to confidently proceed toward full implementation, informed by technical findings and validated architectural decisions.
Client: Insurance (confidential)
Sector: Insurance Technology
Scope:
Participated in a focused strategic session to assist with planning an upcoming data warehouse implementation. Reviewed early-stage materials and contributed architectural input ahead of a scheduled demo and proposal.
Key Contributions
Result
Enabled the client to refine their proposal and demo architecture with confidence, reducing ambiguity and aligning stakeholders on technical direction.