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Discuss the data size challenges in your previous projects. How did you optimize storage and processing?

Behavioralhard1.2 min readPremium
Frequency
Low
Asked at 1 company
Category
144
questions in Behavioral
Difficulty Split
100E|18M|26H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
American Express
Key Concepts Tested
joinoptimizationpartition
Expert AnswerPremium
246 wordsInterview-ready
**Situation:** I led data platform optimization for a 50TB+ analytical workload where queries routinely timed out (15+ min), blocking downstream reporting and analytics teams. The warehouse was partition-unaware and stored raw JSON, driving 3x storage costs and full-table scans. **Task:** Reduce query latency to sub-minute P95 while cutting storage spend by at least 25%, without disrupting existing pipelines or introducing new vendor lock-in....
The complete answer continues with detailed implementation patterns, architectural trade-offs, and production-grade considerations. It covers performance optimization strategies, common pitfalls to avoid, and real-world examples from companies like American Express. The answer also includes follow-up discussion points that interviewers commonly explore.

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