IntermediateTECHNICAL
Across your three main projects, which one do you consider the most technically challenging, and can you walk me through a specific problem you solved there—from initial problem statement to your final implementation and result?
Resume-Based
General

Sample Answer

The most technically challenging project was rebuilding our internal reporting system that supported about 200 sales reps and processed roughly 5 million records a day. The specific problem was that monthly reports were taking 6–8 hours to generate and often timed out overnight. My goal was to cut that down to under an hour without losing any detail. I started by profiling the existing pipeline and saw we were doing heavy aggregations directly in the app layer. I redesigned the flow so most of the computation moved into the database and a small ETL layer. I introduced partitioned tables, proper indexing based on real query patterns, and a set of incremental materialized views instead of full recomputes. Then I wrapped it in a simple configuration-driven job scheduler with monitoring and alerts. After rollout, report time dropped from 6–8 hours to 28 minutes, and failures went from several per week to essentially zero for three consecutive quarters.

Keywords

High-volume reporting system with 5M+ records/day and 200 usersDeep performance profiling to find app-layer bottlenecksDatabase-side optimization: partitioning, indexing, incremental viewsConcrete impact: report time cut from 6–8 hours to under 30 minutes
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