Data Structures & Algorithms for Data Engineers
From sliding windows to topological sort — mapped directly onto Spark, Flink, Kafka, Airflow, and the warehouse. This handbook covers 10 core DSA patterns with 50 solved problems, 100 interview questions, and 6 cheat sheets — all written in Python and SQL with real data engineering context.
What's Included
10 Core DSA Patterns
Sliding Window, Two Pointers, Merge Intervals, Binary Search, Hashing, Sorting, Heap, Greedy, Dynamic Programming, and Topological Sort — each mapped to real pipeline use cases.
50 Solved Problems
Every pattern chapter includes 5 fully worked problems with brute force, optimized solution, dry run, and complexity analysis in Python and SQL.
100 Interview Questions
Top 100 data engineering DSA questions covering all patterns, organized by difficulty — ready for FAANG and product company rounds.
6 Cheat Sheets
Quick-reference sheets for all 10 patterns so you can revise fast before any interview without re-reading chapters.
Pattern Decision Flowchart
A visual guide to instantly identify which DSA pattern fits a problem — stops you from wasting time during live interviews.
DSA Applied to Real Systems
See exactly how each pattern shows up in Spark jobs, Airflow DAGs, Kafka streams, and warehouse queries — not just toy problems.
Who is this for?
What learners say
“The ATS resume template got me shortlisted immediately. Interview Q&As are pure gold!”
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Frequently asked questions
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