UST keeps asking these Data Engineering questions repeatedly. CTC = 31 LPA EXP = 4.5 1. Explain your end-to-end data pipeline experience (from ingestion to reporting). 2. How do you design a data lake ...
31k LinkedIn @AWS Data Engineer(5+yrs) || Data Engineer | Python · PySpark · Pandas . AWS (S3, Redshift, Glue, Athena)| Building High-Performance Data Pipelines at Scale | 5TB+/day · 35% Faster ...
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