SRV-01 · DATA PIPELINES
Pipelines with contracts, freshness, and observability
From Postgres CDC to a modeled warehouse, with tests running on every commit.
SCOPE · INCLUDED
Scope included
| phase | deliverable | timeline |
|---|---|---|
| 01 · discovery | Source inventory and existing contracts | week 1 |
| 02 · ingest | Connectors and CDC with schema registry | week 2–3 |
| 03 · model | Staging/intermediate/marts layers in dbt | week 3–5 |
| 04 · test | Contracts, freshness, unique & not_null | week 5 |
| 05 · observe | Lineage, runbooks, SLA dashboards | week 6 |
DATA FLOW
From raw source to activation in one pipeline
Every byte is traceable. Every metric is defined once. No spreadsheets in the middle.
01 · SOURCES
Sources
DBs · SaaS · events
02 · PIPELINE
Pipeline
ELT · tests · dbt
03 · WAREHOUSE
Warehouse
modeled · governed
04 · ACTIVATION
Activation
BI · reverse-ETL
CODE · DDL
Sample DDL · staging contract
stg_orders.sqlSQL
0
CREATE TABLE stg_orders (
order_id TEXT NOT NULL,
customer_id TEXT NOT NULL,
order_ts TIMESTAMP NOT NULL,
amount_cents BIGINT NOT NULL CHECK (amount_cents >= 0),
currency TEXT NOT NULL DEFAULT 1 ,
status TEXT NOT NULL,
CONSTRAINT pk_orders PRIMARY KEY (order_id)
);
COMMENT ON TABLE stg_orders IS
2 ;SLA · OBSERVABILITY
SLAs & observability
Every pipeline ships a public contract: freshness window, expected schema, and owner. Alerts hit the right channel, not a forgotten mailbox. Full lineage via OpenLineage or equivalent.
- SLA-01Freshness p95 declared per critical table
- SLA-02Unique, not_null, accepted_values on every mart
- SLA-03Runbook per incident, with owner and expected TTR
- SLA-04Public execution dashboard for stakeholders
Wire a real pipeline to your warehouse
30-min stack review. We come back with a scoped plan, an owner, and a freshness contract. No SDR, no slide deck.