PinnedMayurkumar Surani·May 18, 2025End-to-End ETL Pipeline for Banking Domain with AWS, PySpark, and DatabricksA Data Engineer’s hands on guideA response icon10A response icon10
PinnedMayurkumar Surani·May 1, 2025Top 20 PySpark Functions Every Data Engineer Should MasterData processing at scale is essential for modern businesses, and Apache Spark with its Python API (PySpark) has become the industry…A response icon4A response icon4
PinnedMayurkumar Surani·May 5, 2025Top 10 Production-Grade Reusable PySpark Scripts for Data EngineersIntroductionA response icon3A response icon3
Mayurkumar Surani·Oct 19Build an LLM-Powered Data Science Agent with LangChain: A Complete, Runnable GuideRead time: 28 minutes Audience: Data scientists, analytics engineers, Python developers Level: Intermediate Stack: Python 3.12+, LangChain…
Mayurkumar Surani·Oct 17Advanced SQL, Python & PySpark for Data EngineersThe 90 questions that actually get asked — and the answers that get you hiredA response icon2A response icon2
Mayurkumar Surani·Oct 15The Lead Data Engineer Interview: 100 Questions, AnsweredA complete, field-tested preparation guide for senior data engineering roles — from advanced SQL and Spark tuning to AWS architecture, data…A response icon1A response icon1
Mayurkumar Surani·Oct 13How to Pass a Cloud Data Engineer Assessment and Interview — Hands on GuideThe HookA response icon1A response icon1
Mayurkumar Surani·Oct 1250 SQL Interview Questions Worth Practicing — Answered With Real QueriesFrom second-highest salaries to overlapping date ranges: a complete, hands-on prep guide with sample data you can run today.A response icon1A response icon1
Mayurkumar Surani·Oct 8100 AWS Data Engineer Interview Questions & AnswersThe complete senior/lead prep guide for cloud-native batch, streaming, and warehousing rolesA response icon1A response icon1
Mayurkumar Surani·Sep 29Foundations of Function Calling and Chaining in LangChainFoundation of Functional Calling and Chaining in Langchain for developer
