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Explain the recent projects you have worked on.

General/Othereasy0.2 min read

Reviewed by Aditya Kumar · Last reviewed 2026-03-24

**Situation**: Recent work spans real-time analytics, lake migration, ML features. **Projects**: (1) Real-time platform—Kafka, Flink, ClickHouse; (2) Lake migration—on-prem Hadoop to S3+Spark; schema evolution; (3) ML feature pipelines—batch + stream for recommendations....

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Frequency
Low
Asked at 1 company
Category
243
questions in General/Other
Difficulty Split
151E|43M|49H
in this category
Total Bank
1,863
across 7 categories
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Key Concepts Tested
airflowpythonsparksql
Expert Answer
50 words

Situation: Recent work spans real-time analytics, lake migration, ML features.

Projects: (1) Real-time platform—Kafka, Flink, ClickHouse; (2) Lake migration—on-prem Hadoop to S3+Spark; schema evolution; (3) ML feature pipelines—batch + stream for recommendations.

Result: 50% latency reduction; 30% cost savings. Focus on reliability, observability, maintainability. Stack: Python, Spark, SQL, Airflow, AWS/GCP.

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