Lead Data Engineer @ PepsiCo
25 ratings and 314 bookings across all services

๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ โ ๐ต๐ฒ ๐ค๐๐ฒ๐๐๐ถ๐ผ๐ป๐
Still struggling to clear PySpark interview rounds?
This bundle is designed to take you from confusion โ confidence โ selection.
๐ ๐ช๐ต๐ฎ๐ ๐ฌ๐ผ๐ ๐๐ฒ๐
๐ฃ๐๐ ๐ญ โ ๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๐๐ผ๐ฟ๐ฒ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐ค๐๐ฒ๐๐๐ถ๐ผ๐ป๐ (60)
๐ฆ๐๐๐ง๐๐ข๐ก ๐ญ โ Easy (1โ20)
Strong fundamentals with real-world transformations and aggregations
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฎ โ Medium (21โ45)
Joins, window functions, JSON, and performance tuning
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฏ โ Advanced (46โ60)
CDC, data skew, medallion architecture, pipelines
๐ฃ๐๐ ๐ฎ โ ๐ฃ๐๐ฆ๐ฝ๐ฎ๐ฟ๐ธ ๐ฆ๐ฐ๐ฒ๐ป๐ฎ๐ฟ๐ถ๐ผ-๐๐ฎ๐๐ฒ๐ฑ ๐ฃ๐ฟ๐ฎ๐ฐ๐๐ถ๐ฐ๐ฒ (36)
๐ฆ๐๐๐ง๐๐ข๐ก ๐ญ โ Window Functions
Lead/Lag, ranking, cumulative logic, YoY analysis
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฎ โ Joins
Self joins, full outer joins, complex join scenarios
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฏ โ Aggregations
GroupBy, collect sets, ranking-based aggregations
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฐ โ Data Cleaning
Deduplication, null handling, PII masking
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฑ โ Real-World ETL
Business logic, transformations, real scenarios
๐ฆ๐๐๐ง๐๐ข๐ก ๐ฒ โ Complex Data
Arrays, structs, nested schema handling
๐ก ๐ช๐ต๐ ๐ง๐ต๐ถ๐ ๐๐ ๐ฃ๐ผ๐๐ฒ๐ฟ๐ณ๐๐น
96 real interview questions
Covers fundamentals + advanced + real scenarios
Focus on optimization and production-level thinking
Everything you need for PySpark interviews in one bundle
๐ฏ Not just practice โ complete PySpark interview prep.