Scaling Kartify's Data for Reliability, Not Just Access
Kartify operates without a data platform - analytics is ad hoc, reconciliation is manual, and there’s no trusted source of truth.
This has always worked for them, until currently they are having an increased number of customers and manually querying their tables are tasking.
I’m designing a data pipeline that introduces ingestion, transformation, and a warehouse layer to make data reliable and easily scalable. this will also help downstream analytics make effective use of their data to facilitate business decision making process.
current as-is architecture diagram: here proposed diagram: here