Arrowjet is now a Cross-Database Sync Tool in Python (PG, MySQL, Redshift)
I've been building Arrowjet, an open-source Python library for fast bulk data movement. It started as a Redshift speed tool, but it now supports Postg…
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The Database Bottleneck You Never Saw Coming: Why 50ms Will Make or Break Your AI Agent in 2026
The uncomfortable truth about AI infrastructure that nobody is talking about — and why your stack might be optimizing for the wrong metric In February…
Can AI Replace Data Engineers? We Tried It.
We had a slightly reckless idea: what if we let AI do most of our data engineering work? Not "help with a query here and there," but actually build re…
Building an AI-Powered Pipeline Auditor with Snowflake's Cortex Code Agent SDK
TL;DR: I built an app that audits data pipelines using AI agent sessions. It analyzes tasks, dynamic tables, streams, pipes, and more -- then offers i…
How Do I Monitor Schema Changes in a Data Warehouse?
You monitor schema changes in a data warehouse by periodically querying metadata catalogs (like INFORMATION_SCHEMA ), subscribing to event-driven noti…
Stop Paying the Abstraction Tax : How I Built a C-Engine 12x Faster than Pandas
Python is the king of data science, but it charges a heavy price for convenience. When you use pd.read_csv() on a 10GB+ file, Python attempts to load …
Automating ETL Workflows with Apache Airflow: From Python Script to Scheduled Pipeline
Modern data engineering revolves around automation, reliability, and scalability. Writing an ETL script in Python is only the beginning. To transform …
850x Faster PostgreSQL Writes With One Line of Python
Every Python developer loading data into PostgreSQL hits the same wall. executemany() with 1M rows? 16 minutes. df.to_sql() ? Same thing — it generate…
"Beating 250,000 Mental Comparisons: A Cross-Domain Engineer's Entity Resolution Case Study"
TL;DR Operations/Systems engineer recently moved to the software side via AI collaboration. Built a domain-specific entity resolution tool in a handfu…
Why PostgreSQL EXPLAIN ANALYZE Can Mislead You — and What to Use Instead
EXPLAIN ANALYZE is the standard tool for understanding how PostgreSQL runs a query. It shows the chosen plan, estimated and actual row counts, and exe…
Using Databricks Genie for Natural Language Querying on Semantic Models
Overview Databricks Genie is designed to let business users ask questions in plain language and receive answers grounded in governed enterprise data i…
The Journey from Scattered Data to an Apache Iceberg Lakehouse with Governed Agentic Analytics
The conventional wisdom for data platform modernization goes like this: pick a target system, build ETL pipelines for every source, migrate everything…
Designing Stable Integration Testing Architectures for Data-Driven Systems By QA Transformation & Integration Architect
Modern data platforms are no longer simple pipelines—they are distributed ecosystems. Data moves across clouds, microservices, event streams, APIs, wa…
Cost Optimization Strategies for Databricks Workloads
Introduction Databricks has become a core platform for data engineering, analytics, and machine learning. It brings flexibility and scalability, but i…
Mastering Your Heartbeat: Architecting a High-Frequency Health Monitoring System with InfluxDB and Grafana
Have you ever wondered how wearable devices manage the massive deluge of data coming from your body every second? We are talking about high-frequency …
The Announcement Everyone Slept On at Google Cloud Next '26: The Cross-Cloud Lakehouse
Google Cloud Next '26 dropped a lot of flashy headlines — eighth-gen TPUs, Gemini Enterprise Agent Platform, AI-powered security ops. But the announce…
Stop Losing Your Health Data! Build a Lifelong Electronic Health Record (EHR) System with Neo4j and GraphRAG 🏥💻
Let’s be honest: our medical history is usually a chaotic mess of scattered PDFs, blurry smartphone photos of prescriptions, and "I think I had a feve…
ETL vs ELT: Which One Should You Use and Why
As a data engineer there is a myriad of tools to choose from in the quest to avail clear data for analysis. Clean data leads valuable insights and bus…
Apache Data Lakehouse Weekly: April 16–22, 2026
Two weeks past the Iceberg Summit, the San Francisco in-person alignments are now translating into formal proposals and code on the dev lists. Iceberg…
DataFrames & SQL in Databricks: Reading, Writing, and Transforming Data
DataFrames & SQL in Databricks: Reading, Writing, and Transforming Data This is where things get real. So far we've set up our environment, unders…
How Linux is Used in Real-World Data Engineering
So, you know Python and think, "Hey, why don't I get into Data Engineering?" You have your learning checklist ready to go, but there’s a giant, termin…
Columnar Databases (ClickHouse/Snowflake)
The Data Titans: Diving Deep into the World of Columnar Databases (ClickHouse & Snowflake) Hey there, fellow data enthusiasts! Ever feel like you'…
Part 7 - Spark Transform Local vs Cloud ⚡
Part 7 - Spark Transform Local vs Cloud ⚡ This part continues from the API client layer and explains the transformation job in spark_jobs/air_quality_…
Part 6 - API Client Design and Reliability 🔁
Part 6 - API Client Design and Reliability 🔁 This part continues from the ingestion DAG and explains the reusable client functions in dags/air_quality…
Part 5 - Ingestion DAG and Raw Storage 📥
Part 5 - Ingestion DAG and Raw Storage 📥 This part continues from the runtime config and looks at the first real Airflow DAG in the chain: dags/api_in…
Part 4 - Airflow Runtime and Shared Config ⚙️
Part 4 - Airflow Runtime and Shared Config ⚙️ This part continues from the bootstrap logic and explains the configuration layer that keeps the rest of…
Part 3 - Station Sampling and Cache Building 🗂️
Part 3 - Station Sampling and Cache Building 🗂️ This part continues from the data source overview and focuses on the bootstrap script that prepares th…
Part 2 - Data Sources and Domain Model 📡
Part 2 - Data Sources and Domain Model 📡 This part continues directly from the architecture overview. Now that the overall flow is clear, the next que…
Part 1 - Introduction and End-to-End Architecture
Part 1 - Introduction and End-to-End Architecture 🌍 This project was built as part of the Data Engineering Zoomcamp final project. The goal is simple …
ClickHouse Native JSON Support in 2026: A PR-by-PR Analysis
TL;DR ClickHouse has full native JSON support, and has since v25.3. The JSON type stores each path as a separate columnar subcolumn with native type p…