Data Pipeline Architecture Plan
From scattered sources to one trusted dataset.
Data & Systems
System Integration Specification
Two systems, one contract, zero guesswork.
Integrations fail in the gaps between teams. Each side assumes the other handles retries, each assumes the other validates the payload, and the failure only surfaces when records quietly stop syncing.
This specification closes those gaps by defining the contract between your systems in full. Every endpoint is mapped with its HTTP method, request and response schema, required headers, and status codes. Field-level transformation rules document exactly how data in system A becomes data in system B, including type conversions, format normalisation, and default values.
Authentication is specified end to end — OAuth 2.0, API keys, HMAC signing, or mTLS — including token lifecycle, refresh handling, and credential rotation. Error handling covers retry policy with backoff, idempotency keys to prevent duplicate writes, dead-letter handling, and rate-limit behaviour.
The document closes with a testing strategy: the contract tests, integration test cases, and edge conditions to verify before go-live, plus a rollout plan that lets you cut over without downtime.
Deliverables
System-to-system integration diagram
Complete endpoint map with methods and schemas
Field-level data transformation and mapping rules
Authentication flow with token lifecycle
Retry, backoff, and idempotency strategy
Rate limiting and throttling considerations
Error taxonomy with handling rules per class
Webhook and callback specification where relevant
Test cases, edge conditions, and cutover plan
Turnaround
6 business days from the point scope is confirmed. David Lynn Jr Waddell contacts you within one business day of payment to confirm details and request anything needed to begin.
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