Why Metadata-Driven ETL Frameworks Scale Better Than Hardcoded Pipelines — and Where They Don't
Over the years, I've seen many data platforms start with good intentions. A few scripts are created to move data from one system to another, and every…
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Linux Fundamentals for Data Engineering
Introduction As a data engineer, most of your work will happen on Linux servers. Whether you are managing databases, running data pipelines, or proces…
Apache Data Lakehouse Weekly: June 4 to June 11, 2026
The lakehouse community spent this week arguing about versions, and the arguments mattered. Parquet contributors produced the single largest thread ac…
Modern Data Stack Migration — Day 1: Scaling to 8+ Companies with DRY Architecture and Chasing a $2M Discrepancy
Hello everyone! Following up on my previous post , Day 1 of my Modern Data Stack migration was an absolute rollercoaster of refactoring and deep data …
Data Lineage Is a Vanity Metric Without Business Context
Most lineage tools produce beautiful diagrams that don't answer the one question that matters: 'What breaks if this data is wrong?' Here's how to move…
QN : Ingest and transform data in a lakehouse
lakehouse has two storage areas ; Files and Tables Files Store structured, queryable data by sql Supports schema definitions and ACID transactions Tab…
Apache Kafka Explained: A Practical Beginner Guide for Data Engineers
If you're learning data engineering, you'll probably meet Apache Kafka very early. You'll see it in job descriptions, system design diagrams, real-tim…
From Dashboards to Autonomous Action: Why You Need to Attend Google Cloud Labs
The era of passive data analytics is over. Today, the most forward-thinking data teams aren't just building dashboards to show what happened yesterday…
Linux Fundamentals for Data Engineering
When you are starting out in Data Engineering, it is easy to focus entirely on writing pristine Python code, designing SQL schemas, or learning comple…
Extract data from Databases into DuckLake
Introduction In the evolving landscape of data engineering, DuckLake is emerging as a powerful solution for building data lakes with ACID transactions…
100 Days of ClickHouse® – Day 6: Importing CSV Files into ClickHouse®
CSV files are one of the most common formats for storing and exchanging data. Whether you’re working with logs, analytics data, application exports, o…
Organizing How to Use AWS Lake Formation
Original Japanese article : AWS Lake Formationの使い方について整理してみる Introduction I'm Aki, an AWS Community Builder ( @jitepengin ). Previously, I wrote an ar…
ETL Pipeline: Fetching Real-Time News Data with Python and Postgres
The best way to actually understand data engineering is to build something that breaks, fix it, and watch it successfully run. In this article, we bui…
Your Scraper Collected 50 Rows. There Were 4,000.
A scraper can pass every check you wrote and still be wrong about the one thing you actually care about: how much it collected. No exception. No 500. …
Why I Don’t Let the LLM Decide Issue State
When you build an AI system for marketing performance monitoring, one tempting idea is to let the LLM decide everything. Campaign pacing is off. Creat…
Deeper into Dataform 3: Auditing Dataform
It's important to monitor Dataform - jobs executed by Dataform can be the primary source of BigQuery costs in a modern data platform. Forgetting to in…
I built a data-contract validator in pure Python (no pandas, no PyYAML) and it caught a 30% revenue ghost
A few months ago I spent the better part of a day chasing a bug that turned out not to be a bug at all. A downstream dashboard showed revenue had jump…
Data Engineer vs. Data Scientist: What's the Difference? (2026 Guide for Beginners)
If you're exploring a career in data, you've probably seen both titles everywhere — job boards, LinkedIn, bootcamp brochures. They both work with data…
If the warehouse already has the data, why are we copying it elsewhere?
When we started working on Krenalis , we spent a lot of time reviewing how customer data typically flows through a modern data stack. One pattern kept…
What Is Agentic Workflow Consulting? A Practical Guide for Data Leaders
The Term Everyone Uses and Nobody Defines Your CTO came back from a conference and said the team needs to "go agentic." A vendor pitched you an "agent…
Using Microsoft Fabric Shortcuts to Avoid Duplicate Data Copies
Enterprise data platforms are really good at one thing: creating copies of the same data everywhere. Different teams copy the same curated folders int…
Why Dremio's Value Is Unique to Apache Iceberg Lakehouses and Agentic Analytics
Most data teams have already made two decisions, even if they haven't written them down yet. The first is that Apache Iceberg will be the table format…
Handling Time Zone Differences in Forex APIs: A Practical Developer’s Guide
Handling Time Zone Differences in Forex APIs: A Practical Developer’s Guide When I started building a multi-source forex data pipeline for a brokerage…
Supply Chain Sense: Merging Gemini AI and Math for Smart Retail Inventory
In neighbourhood retail markets, local Kirana stores, and hyper-local fulfilment centres, inventory management isn’t an administrative task—it’s a hig…
FastAPI for Data Engineers: Building, Testing, and Debugging APIs That Don't Lie to You
The JobSense project needed a FastAPI backend that served 604 job embeddings via semantic search, a Pydantic validation layer that stopped bad data be…
The Data Engineering Take-Home Assessment: How to Turn a 4-Hour Test Into a Job Offer
Most candidates treat the take-home assessment as a coding test. It is not. It is a professional communication test that happens to include coding. Th…
Data Engineering Interviews with No Industry Experience: A Playbook That Actually Works
I graduated in November 2025. My only formal work experience is a 6-month IT internship. I have never worked at a tech company, never contributed to a…
Kafka for Data Engineers: Core Concepts, KRaft, and the Patterns That Actually Work
If your Kafka Docker Compose still has a ZooKeeper service in it, your setup is already legacy. As of Kafka 4.0 (released March 2025), ZooKeeper is go…
Linux for Data Engineers: From Zero to Production
I run every data pipeline I build on Linux. PostgreSQL, Airflow, dbt, Docker, FastAPI — all of it runs on Linux, even when my laptop is Windows. Under…
Transitioning to Data Engineering: My Top 4 Essential Tools So Far
Switching focus from Frontend development to Data Engineering means shifting from building user interfaces to architecting robust data pipelines. It’s…