PinnedI Almost Got Fired Because of Pandas on Databricks — Here’s What You Should Learn From My MistakeJust because your code works doesn’t mean it scales.May 3A response icon30May 3A response icon30
From Data Analyst to Data Engineer: Why Mastering SQL MERGE is Your Key to SuccessAs a data analyst, you’re a master of uncovering insights — slicing and dicing datasets with SQL SELECT statements to answer critical…3d agoA response icon13d agoA response icon1
🛠️ Build a Fast, Easy, and Robust PDF-to-Data Pipeline in AzureIn an enterprise setting — especially on Azure — processing PDFs into structured, searchable data is a critical capability. Whether you’re…4d ago4d ago
🧠 Can Databricks Replace Your BI Semantic Layer? Yes —BUT…Why Semantic Layers Matter (Now More Than Ever)6d agoA response icon36d agoA response icon3
🧠The SQL Cheat Code That Will Instantly Upgrade Your Interview SkillsWhen it comes to SQL interviews, there’s one category of questions that trips up even the most experienced analysts and data engineers:Jul 7Jul 7
🔍 You Can’t Control the Mess — But You Can Control How You Clean It: Handling Data Quality in…One of the biggest challenges data engineers face isn’t about scaling systems or optimizing performance — it’s dealing with data we don’t…Jul 5Jul 5
You Don’t Need to Build AI Models to Thrive in the AI Era — But You Must Be More HumanWhen cars were invented in the early 20th century, it was a technological marvel.Jul 2Jul 2
“We Need It in 5 Days” — How to Handle Unrealistic Stakeholder Expectations as a Data Engineer“Can we get the pipeline ready in 5 days?”Jun 28Jun 28
DAG in Data Engineering — What It Really Means (And Why It Matters)Let me be honest with you.Jun 27A response icon3Jun 27A response icon3
Why It’s So Hard to Break Into Data Engineering as a Junior…and how you can overcome itJun 26A response icon2Jun 26A response icon2