Data Engineering
Data systems designed around your sources, workloads, and operating needs.
Novriq Labs helps connect commerce, advertising, CRM, and custom API sources, then shape their data for storage, reporting, or application use. Authentication, pagination, rate limits, and schema changes are handled according to each source and project scope.
Run status and recovery behavior are designed around the source API, available history, retry rules, and monitoring requirements. Checkpoints and alerts can make incomplete or failed runs visible to the team.
Core Data Engineering Capabilities
Engineering Under the Surface
Connect APIs and data sources.
OAuth and key-based auth, rate-limit-aware clients, and a connection test that runs before anything else does.
Collect reliable, structured data from multiple platforms.
Scheduled or incremental extraction with pagination and checkpoints; backfills and replay depend on source history and API limits.
Clean, normalize, validate and model the data.
Type coercion, deduplication, currency and timezone normalization, and referential checks that fail loudly.
Load data into the appropriate database or warehouse.
PostgreSQL, a cloud database, or a warehouse - chosen for the query patterns you actually have, not the logo.