VIKAS REDDY.

01 · Analytics Engineering

Renewal Reporting, Re-architected

A critical renewal reporting pipeline moved from a slow 31-CTE live view to a high-performance Snowflake Dynamic Table architecture.

~3 min

Before

~110ms

After

>1,000×

Improvement

The problem

The renewal reporting view had accumulated 31 CTEs and required roughly three minutes to execute. During a critical seasonal reporting window, latency made the reporting experience difficult to scale.

The approach

I separated the historical requirement from the dynamic reporting requirement using a frozen-snapshot + Dynamic Table union design. The goal was not simply to make SQL faster, but to preserve the business meaning of the existing output.

Validation

The redesigned output was compared against the prior reporting logic and seasonal requirements, with attention to historical accuracy and exception populations.

The result

Query latency dropped from approximately three minutes to roughly 110 milliseconds—more than a 1,000× improvement—while retaining the historical reporting behavior required by the business.