45%
Reduction in Stored Data Footprint
+20–40%
Script loading speed
20–30%
Savings in Cloud Storage Expenditures
Engineering & Business Challenges
01
Pre-Computation Bloat
Batch calculating and retaining massive arrays of intermediate artifacts caused severe infrastructure bloat.
02
Impeded Software Evolution
Highly entangled legacy dependencies restricted the rollout of new analytical pipelines.
03
Zero-Downtime Migration
Mandate to decommission the legacy processing core without disrupting production user interfaces.
Engineering & Architectural Solution
01
Dynamic On-Demand Queries
Engineered an on-demand querying mechanism generating analytical subsets without pre-computation.
02
Schema & ORM Refactoring
Overhauled relational database schemas, upgraded ORM mappings, and phased out legacy tables.
03
Phased UI Migration
Incremental migration of dozens of analytical views to the new API with uninterrupted delivery cycles.
