IntermediatePROBLEM_SOLVING
Think about the third project in your portfolio: walk me through a technically challenging problem you faced there, how you diagnosed it, and the steps you took to resolve it.
Resume-Based
General

Sample Answer

In my third project, I owned a reporting dashboard that kept timing out whenever users pulled 3+ months of data. Roughly 25% of report requests were failing, and support tickets had doubled over two sprints. My first step was to reproduce the issue in a lower environment and add detailed query logging and timing metrics. That showed one SQL query doing multiple nested joins on a 20M-row table and scanning far more data than needed. I paired with our data engineer, pulled slow-query logs, and used `EXPLAIN` plans to pinpoint missing indexes and unnecessary columns. We rewrote the query, introduced pagination, pushed heavy aggregations into a nightly materialized view, and added a 60-second async export option. Timeouts dropped from 25% to under 1%, average load time fell from 18 seconds to about 4 seconds, and support tickets on that feature went down by roughly 70% over the next month.

Keywords

Reproduced and instrumented a high-failure performance issueUsed query analysis and logs to isolate a problematic SQL patternRedesigned data access with indexes, materialized views, and paginationMeasured impact: reduced timeouts and cut support tickets by ~70%
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