POS Analytics & Data Exports
A POS administration platform with analytics across multiple services, large exports and practical cloud cost constraints.
Role
Backend / Full-Stack Developer, Architecture Contributor — administration application, analytics and exports
10–20 sec
Selected updates, previously approximately 1–2 minutes
~300 MB
CSV exports with bounded memory use
~$1,300/mo
Estimated recurring saving versus original infrastructure estimate
The problem
The administration application needed analytical data from several services. Repeated synchronous retrieval created avoidable dependencies and slow updates.
Large exports also needed to remain usable without keeping the entire generated file in application memory. Reusing exports introduced a separate question: how should a user request fresh data?
Analytics and export workflows
The two workflows use batching and background processing for different purposes.
- A constrained JSON-to-SQL layer validates analytical requests before translating them into ClickHouse SQL.
- Cached recalculation is segmented by tenant and time range, with batching and locking for concurrent updates.
- CSV exports retrieve paginated data across services, stream generation directly to S3 and expose progress to users.
Engineering decisions
Bound the query interface
Translate validated analytical requests rather than accepting arbitrary frontend SQL.
Reduce synchronous dependencies
Cache relatively static reference data and recalculate selected analytics in the background.
Make freshness explicit
Reuse exports for identical filters while allowing a user to force regeneration.
Review actual infrastructure utilization
Contribute to consolidation onto two EC2 worker nodes in the existing EKS environment and introduce log and backup rotation.
Results and scope
Selected analytical update latency decreased from approximately 1–2 minutes to 10–20 seconds. This describes those update operations, rather than every endpoint or the entire platform.
The export workflow handled approximately 300 MB CSV files with bounded memory use. Infrastructure consolidation reduced estimated recurring cost by approximately $1,300 per month relative to the original infrastructure estimate; this is an estimate comparison, not a claim based on a billing audit.
Commercial work
Public scopeThis summary covers engineering decisions and aggregate results already documented in the CV. Client data, proprietary source code, internal endpoints and detailed deployment configurations are omitted.
Further discussion
- →Discuss tenant boundaries and concurrent recalculation
- →Explain export streaming and freshness trade-offs
- →Review workload assumptions behind the infrastructure estimate
Technology