PinnedPublished inGeek CultureMy Guide to Becoming a “Market-Ready” Data Engineer With a $100 Investment in 3 Months or Less —…As you may know, the demand for Data Engineers has quadrupled in the last 2 years. There are more jobs than candidates in the job market…Jan 25, 20213Jan 25, 20213
How I Learned to Stop Reprocessing 10 Million Records Daily: A Guide to Incremental Data Loads“Why is our pipeline reprocessing 10 million records every day?”4d ago4d ago
When PySpark Columns Go Rogue: How unionByName() Saves the Day“Wait… why did my column values just shift like a bad copy-paste?”May 9May 9
When Commas Break Your CSV: How to Read Complex CSV Files into a Spark DataFrame (Without Losing…“Why does this file have 10 columns on one row… and 12 on the next?”May 8May 8
🧩 “Everything Worked in Dev… Until It Didn’t: My Wake-Up Call with Azure and Databricks”“The pipeline ran fine on dev, so why is production throwing authorization errors, breaking storage access, and failing silently?”May 41May 41
I 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 37May 37
How I Answered: “Design a Spark Job That Processes Terabytes of Data Every 10 Minutes on…A behind-the-scenes look at tackling a real-world system design interview question — with Databricks as the stage.May 13May 13
Data Engineering Interviews Are Broken — Here’s How to Fix ThemWhat if your hiring process is filtering out the exact engineers who will thrive?Apr 29Apr 29
From Snowflake to Databricks: A Data Engineer’s Guide to Thriving in the Lakehouse EraTransitioning from Snowflake to Databricks isn’t just about changing tools — it’s about shifting your entire engineering mindset.Apr 19Apr 19