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Data Engineering Insights

Tips, guides and interview prep resources for data engineers

✨ Featured Post
How to Ace a PySpark Interview at FAANG
A complete guide to the most common PySpark interview patterns at Amazon, Meta, Google and Databricks — with real questions and solutions.
⚡ pysparkApr 5, 2026📖 8 min read
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Top 10 SQL Window Functions Every Data Engineer Must Know
ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD and more. Master these and you will crush any SQL interview.
sql6 min read
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PySpark vs Pandas: When to Use Which
Both are powerful tools but serve very different purposes. Learn when to reach for PySpark and when Pandas is the better choice.
pyspark5 min read
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Building Your First ETL Pipeline in Python
Step by step guide to building a production-ready ETL pipeline using Python, covering extraction, transformation and loading patterns.
python10 min read
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Data Engineering Interview Cheat Sheet 2026
The most important concepts, patterns and questions you need to know for data engineering technical interviews this year.
general12 min read
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Understanding Spark Partitioning for Performance
Partitioning is one of the most misunderstood concepts in Spark. Here is everything you need to know to write high-performance PySpark code.
pyspark7 min read