Reviewed by Aditya Kumar · Last reviewed 2026-03-24
**STAR**: **Situation**: Needed to process 50TB monthly; real-time + batch. **Task**: Build scalable pipelines. **Action**: Built Kinesis real-time + Spark batch. S3 data lake. Migrated on-prem to cloud. **Result**: 50TB/mo processed; sub-minute real-time; batch SLA met....
Pro-Move: 'We process 50TB/mo across 30 pipelines—Kinesis for events, Spark for nightly aggregates; migrated 20 on-prem jobs to Glue.' Red Flag: Vague worked with Big Data—cite scale and stack.
STAR: Situation: Needed to process 50TB monthly; real-time + batch. Task: Build scalable pipelines. Action: Built Kinesis real-time + Spark batch. S3 data lake. Migrated on-prem to cloud. Result: 50TB/mo processed; sub-minute real-time; batch SLA met. Emphasize: Scale (volume, latency), tools, impact.
Pro-Move: 'We process 50TB/mo across 30 pipelines—Kinesis for events, Spark for nightly aggregates; migrated 20 on-prem jobs to Glue.' Red Flag: Vague worked with Big Data—cite scale and stack.
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