BABlessing Angusindata-with-naza.hashnode.dev·7h ago · 9 min readData Tests, Quality Checks, and Observability: The Three Layers Every Pipeline NeedsIn Part 1 of this series, I defined data quality and walked through the six dimensions that the industry uses to measure it. If you have not read that piece, I would start there because the framework 00
BABlessing Angusindata-with-naza.hashnode.dev·2d ago · 6 min readData Quality: What It Actually Means (And Why "Clean Data" Is Not Enough)Before I ever built a pipeline, I thought data quality meant clean data. Tidy spreadsheets. No empty cells. Consistent formatting. The kind of thing you could see and assess visually. Then I started a00
BABlessing Angusindata-with-naza.hashnode.dev·Feb 28 · 9 min readBuilding an Incremental Zoho Desk to BigQuery Pipeline: Lessons from the TrenchesWhat I thought would take a few days ended up taking weeks so here's everything I learned building a production Zoho Desk to BigQuery pipeline from scratch. When the Fintech company I worked with dec00
BABlessing Angusindata-with-naza.hashnode.dev·Sep 17, 2025 · 4 min readDocker Explained with a Food AnalogyIf you're just hearing about Docker, it can sound intimidatingly complex: containers, images, engines, orchestration... it's a lot! But let's break it down using something we all understand: food. The00
BABlessing Angusindata-with-naza.hashnode.dev·Apr 12, 2025 · 6 min readBuilding an End-to-End Batch Pipeline for NYC Citi Bike 2024 (DE Zoomcamp Final Project)Over 1.1 million bike trips. Twelve months of data. One pipeline to process all of it. This post documents how I built an end-to-end batch data pipeline for NYC's Citi Bike 2024 dataset as my final pr00
