DATA OPS

Partner CSV to Snowflake with Threshold-Based PagerDuty Alert

Validates a scheduled partner CSV against a schema, loads clean rows into Snowflake, quarantines rejects to S3.

CategoryData Ops
Enginesim
Difficultyadvanced
Triggerschedule
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerScheduled partner CSV pull
  • LogicValidate rows against contract schema
  • ActionLoad clean rows into SnowflakeSnowflakeSnowflake
  • ActionWrite rejected rows + defect report to S3AWS S3
  • LogicCompute reject rate vs threshold
  • OutputOpen PagerDuty incident if threshold breachedPagerDutyPagerDuty

What it does

This workflow validates a partner CSV against your contract schema, loads the clean rows into Snowflake, and writes rejected rows to an S3 quarantine prefix. Unlike a fire-on-every-defect setup, it only escalates when the reject rate exceeds a threshold you define (for example, more than 5 percent of rows bad) — so routine noise stays quiet and real feed breakage pages someone.

When to use it

Use it when partner feeds always have a little dirt but a sudden spike in rejects signals an upstream schema change or a broken export. The threshold gate turns the workflow into an early-warning system for feed integrity.

How it works

  1. 1A scheduled trigger pulls the partner CSV.
  2. 2Each row is validated against the schema contract.
  3. 3Clean rows are loaded into the Snowflake target table.
  4. 4Rejected rows and a defect report are written to S3 quarantine.
  5. 5A logic step computes the reject rate and compares it to the threshold.
  6. 6If the threshold is breached, a PagerDuty incident is opened with the run stats and top failure reasons.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect AWS S3Buckets, objects, signed URLs.
  3. 3
    Connect PagerDutyIncidents, on-call, escalations.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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