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Explain your cloud-based data pipeline on AWS

Cloud/Toolshard0.3 min readPremium
Frequency
Low
Asked at 1 company
Category
179
questions in Cloud/Tools
Difficulty Split
104E|27M|48H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Lumiq
Key Concepts Tested
etlpartition
Expert AnswerPremium
57 wordsInterview-ready
Situation: Built data platform for analytics and ML. Architecture: S3 landing (API Gateway + Lambda, Kinesis Firehose) → Glue crawlers → Glue ETL (Parquet, curated) → Redshift/Athena. Streaming: Kinesis → Lambda/Kinesis Analytics → S3. Step Functions for multi-step. Medallion (raw/silver/gold). Result: Single lake; Glue Catalog; partition by date; encrypted; Terraform....
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 Lumiq. The answer also includes follow-up discussion points that interviewers commonly explore.

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