Quantified Self: How I Handled 100GB of Messy Biosensor Data with Polars and Dask
We live in the era of the "Quantified Self." Between my Oura ring, Apple Watch, and continuous glucose monitor (CGM), I’m generating more data than…
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Grounding Palantir AIP Workflows in the Ontology: Tool Design, Guardrails, and Evaluation Patterns
Migrating Legacy ETL Pipelines to Palantir Foundry: Incremental Processing, Schema Evolution, and Reconciliation Replacing a legacy ETL platform is…
Announcing det: - Fast, local-first SQL ETL workspace and pipeline orchestration engine
What if you could build complete, production-grade ETL pipelines in Pure SQL… without Jinja templates, without a database server, and without heavy…
An AI-Assisted Development Methodology, Earned from Real Incidents
This document is a methodology for building software with AI assistance, compiled from the rules that survived real use on a production data platfor…
Best Data Warehouse Schema Documentation Tools (2026): SQLDBM, dbt, DataHub, Atlan & SchemaSpy Compared
Schema documentation used to be the thing teams promised to do "next sprint" and then never did. In 2026, that excuse doesn't hold up. Warehouses ar…
Why Data Reconciliation Matters in AWS Glue: Finding Missing Records with Anti Joins
A pipeline can be green and still have a data problem. This is one of the things I learned while working with data pipelines. A Glue job can complet…
Hello Everyone
Hey! I'm Ayush Shandilya, a software engineer working in data engineering and AI/ML. I'm really interested in understanding how things work under th…
Read Kafka Like a Database
Working with Kafka data on your own terms, using a local index. A search stack usually follows Kafka into a service. But the message you are looking…
Shopify Data in Databricks: A First Look at the New Lakeflow Connect Shopify Connector
Databricks now has a managed Shopify connector in Lakeflow Connect, released in Beta on September 22, 2026. It pulls products, orders, customers, in…
Project Sentinel: One Morning Digest for Every Failure in Our Data Stack
How we collect health metadata from Airflow, Glue, dbt and Tableau into S3, serve it through a thin API, and let an AI agent write the daily report.…
Moving Your Local Airflow to GCP for under $150 a month
My team runs ML training and prediction pipelines on Vertex AI. For a long time, the thing telling those pipelines when to run was Apache Airflow, i…
Cutting a production AWS Glue pipeline's runtime by about half, plus two bugs that taught me more
I spent the last few months tuning a production pipeline on AWS Glue and PySpark : Oracle to S3 ingestion, then packaging, encryption, and transfer…
Never create 1-row ClickHouse parts again: The built-in Buffer Manager.
Day 03 of the WClickHouse Open-Source Engineering Series. You don't need a Redis cluster just to protect ClickHouse from single-event streaming writ…
Masa Depan Manajemen Data: Mengenal Konsep Data Mesh yang Revolusioner
Dalam dunia IT yang berkembang pesat, pengelolaan data dalam skala besar seringkali menjadi tantangan tersendiri bagi perusahaan teknologi global. J…
Databricks Architecture Explained: Control Plane, Compute Plane, Delta Lake and Unity Catalog
"Explain the Databricks architecture" is one of the most common data engineering questions. Here is the answer as a picture, built up layer by layer…
Your Data Engineering Roadmap Is Probably Too Long
A data engineering roadmap crossed my feed recently. It is thoughtful, detailed, and 571 lines long. The associated Reddit discussion had a predicta…
# Power BI Data Modelling: A Great Path to Great Analysis
Data Modeling in Power BI Introduction At a time when data is rapidly generated by different activities ranging from experiments to business, more o…
5,800 Data Engineers on What Is Actually in Production in 2026
Every year, someone publishes a "State of Data Engineering" survey with 200 respondents, mostly from their own Slack community, and calls it represe…
Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't
This article is a step by step build of one small Apache Iceberg data agent, written three times: in Google ADK, in AWS Strands and in Microsoft Age…
Four Iceberg Tools, Three Agent Frameworks: What Ports, and What Doesn't
This article is a step by step build of one small Apache Iceberg data agent, written three times: in Google ADK, in AWS Strands and in Microsoft Age…
Designing a Production-Ready Data Science Pipeline: From Raw Events to Monitored Models
A model is only one artifact in a production data science system. The harder engineering problem is creating a reliable path from changing source da…
AI-Enhanced Data Pipelines: Integrating NVIDIA Triton Inference Server into Modern ETL Architectures
-- Executive Summary -- The evolution of Extract, Transform, Load (ETL) processes is undergoing a paradigm shift. Traditional ETL pipelines, designe…
Modern Data Lakehouses: How Apache Iceberg Solved the Pitfalls of Hive Metastore
Introduction When a data platform grows from a few gigabytes to terabytes or petabytes, storing the data is only one part of the problem. A typical…
Quantified Self: Transform Your Medical PDFs into a Personal Health Oracle with RAG & PubMed
Have you ever looked at a 10-page medical lab report and felt like you were reading ancient hieroglyphics? You’re not alone. In the era of the Quant…
561/2006 Tells You When to Stop. It Doesn't Tell You If the Bay Is Free.
Regulation (EC) 561/2006 is arithmetic. Four and a half hours of driving, then a 45-minute break. Nine hours a day, eleven twice a week, a daily res…
Building an investing knowledge graph, part 6: if you're merging data from more than one source, you'll hit this
Building an investing knowledge graph, part 6: if you're merging data from more than one source, you'll hit this Since part 5 went up, I've had two…
The Hard Truth About Data Engineering Interviews Nobody Tells You
It's 11 PM. You've solved forty LeetCode mediums this month. Your GitHub has a shiny new Airflow project with green checkmarks all the way down. Tom…
Why Using FLOAT for Financial Pipelines is a Silent $100k Trap (and How PostgreSQL NUMERIC Saves Your Ledger)
Here is a simple SQL query that should return 0.3: SELECT 0 . 1 :: FLOAT4 + 0 . 2 :: FLOAT4 ; In PostgreSQL, MySQL, and most relational SQL engines,…
Blast Radius
Designing account-level isolation for a multi-environment Snowflake account: one environment, one identity, one grant at a time. Nine databases, fif…
From Detection to Production: A PII-Safe Pipeline in Python and DuckDB
Part 1 gave you a map: every PII-bearing column, tier-tagged. Part 2 armed you: HMAC for direct identifiers, tokens for what must be reversible, mas…