SQL & Data Interviews
Window functions, CTEs, and the queries that actually get asked.
SQL drills, query optimization, and data-engineering interview prep. Covers analytics roles, data engineer loops, and the LeetCode/HackerRank SQL tracks.
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Data Engineer Interview Loops: SQL, Pipelines, and Tradeoff Stories
LeetCode SQL is one slice — pipelines and operational thinking complete the picture.
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CTEs in Interviews: Readability, Recursion, and Performance Intuition
Interviewers reward clarity — nested soup hides bugs you cannot afford.
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Analytics SQL: CASE, Bucketing, and Funnel Semantics Under Pressure
Funnel questions hide timezone and identity traps — name them early.
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SQL Window Functions: Frames, PARTITION BY, and the 80% Patterns
Rank, running totals, and prior-row lookups — with the clarifying questions that prevent silent wrong answers.
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SQL Optimization Interviews: Indexes, Selectivity, and Honest Tradeoffs
You do not need to be a DBA — you need coherent stories about scans and sorts.
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NULL Semantics in SQL Interviews: Tri-valued Logic and Interview Landmines
COUNT(*) vs COUNT(col) is not trivia — it is a signal you shipped queries.
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SQL Joins and Cardinality: Inner, Outer, and the Duplicate Explosion
Every join multiplies rows — say it before your aggregates lie.
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SQL Interview Questions: The 9 Window Function Patterns That Solve 80% of LeetCode SQL
If you can write a clean window function under pressure, you can pass almost every analytics and data-engineer SQL screen.
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Stop grinding. Start patterning.
Patterns-first interview prep — coding, design, behavioral, mocks, ML/AI in one $19/mo subscription.