Project
Data Platform (ETL + Products)
Core data platform responsible for ingesting, normalizing, and serving datasets consumed by multiple SaaS products and enterprise clients.
Software Engineer (Platform Contributor) Professional work Proprietary
Professional work. I contributed to the platform architecture and backend systems. Description focuses on technical responsibilities.
Stack
Node.jsPythonGCPCloud RunPub/SubDockerFirestoreCloud Storage
Impact
- Enabled multiple SaaS products and enterprise clients from a shared, reliable data foundation.
- Improved ingestion reliability using event-driven architecture and structured monitoring.
- Standardized normalization contracts to accelerate onboarding of new products.
What I did
- Designed ingestion adapters and normalization workflows.
- Implemented event-driven pipelines using Pub/Sub.
- Improved production stability via retries, idempotency, and monitoring.
- Contributed to platform scalability and service boundary definitions.
Architecture
- External sources → ingestion workers (Cloud Run / Functions)
- Pub/Sub for decoupled processing stages and buffering
- Transformation and normalization services
- Curated datasets consumed by downstream products
Products built on top
CattleWiz
SaaS ProductCattle and beef market intelligence platform built on top of the Data Platform.
EconWiz
SaaS Product (In Progress)Economic data product extending the platform to macroeconomic and market indicators.
Custom Client Pipelines
Enterprise IntegrationsCustom ingestion and transformation pipelines for enterprise clients (anonymized).