Data Engineering
Design and build data pipelines that power AI systems. ETL/ELT, data modeling, and cloud-scale storage.
Intermediate
SQL Interview Questions: Medium Level (Q1–Q100)
100 SQL interview questions with detailed answers — joins, aggregations, subqueries, GROUP BY, HAVING, NULL handling, duplicates, and ranking. Covers the most commonly asked questions in tech interviews.
SQL Real-World Project: E-Commerce Analytics Database
Build a complete e-commerce analytics system from scratch. Design the schema, load data, write complex reporting queries, and create a dashboard data layer — exactly as done in production.
Building ETL Pipelines with Azure Data Factory
Design and build production data pipelines using Azure Data Factory — from source extraction to data lake storage with real-world patterns.
Advanced
Advanced SQL: Window Functions, CTEs, and Performance Tuning
Go beyond basic queries. Master window functions (RANK, LAG, NTILE), recursive CTEs, query optimization, execution plans, and advanced patterns used in production systems.
SQL Interview Questions: Advanced Level (Q101–Q200)
100 advanced SQL interview questions with answers — window functions, CTEs, recursive queries, query optimization, execution plans, locking, and complex analytical patterns used in senior-level interviews.
SQL Interview Questions: Expert Level (Q201–Q300)
100 expert SQL interview questions with answers — database internals, query optimization, distributed databases, data warehousing, OLAP, partitioning, sharding, and system design. For senior engineer and staff-level interviews.