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Consumer technology · location data
Geo-Data Delivery with SLA Observability
A large North American location-data company
Delivering location data to an external buyer every 30 minutes, where a missed SLA costs money.
AWS Athena AWS Glue AWS Lambda Amazon S3 Amazon CloudWatch PagerDuty
The team
- 1 Director of Data Engineering
- 1 Engineering Manager
- 4 Data Engineers
Use cases
- Metrics calculation
- Reverse ETL: data delivery to an external client
- Data quality metrics
- Data observability with SLA enforcement and on-call
What was built
- Athena SQL run from a Glue Python Shell job every 30 minutes
- Results written as Parquet partitions into the client's landing zone
- Lambda compliance checks before data leaves the account
- CloudWatch metrics and alerts on every step
- PagerDuty on-call rotation for the data team
What changed
- About 90% of the engineering effort went into observability, not transformation — because an SLA breach meant a financial penalty.
- Compliance checks ran inside the pipeline, so non-compliant data never reached the buyer.
- A hard lesson: part of the SLA depended on upstream systems the data team did not own. Contracts and alerts must cover that.
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