Data Engineering ¹⁸

2026

The State File Incident: One Missing File, One Destroyed Database 03-23

PyFlink II: Windows, Watermarks, and Late Events 03-17

PyFlink I: Architecture, Checkpoints, and Pass-Through Jobs 03-16

Streaming Foundations II: Python Consumers and PostgreSQL 03-14

Streaming Foundations I: Redpanda and Python Producers 03-13

Running Spark in the Cloud: GCS, Standalone Clusters, and Dataproc 03-07

Spark Internals: Clusters, Shuffles, Joins, and RDDs 03-06

Spark SQL: Running SQL Queries on DataFrames 03-05

Getting Started With PySpark: Sessions, DataFrames, and Transformations 03-04

Batch Processing Fundamentals & Introduction to Apache Spark 03-03

From API to Warehouse in Minutes: Building a Dlt Pipeline With AI 02-27

Understanding Dlt: The Modern Python Library for Data Ingestion 02-27

Advanced Bruin Workflows: AI Agents & Cloud Deployment 02-23

Building an End-to-End Data Pipeline With Bruin 02-19

Introduction to Modern Data Platforms & Bruin Basics 02-15

Analytics Engineering Basics & Introduction to Dbt 02-09

Workflow Transplants: Kestra Core Initialization 01-27

Refactoring Neural Pathways: The 'Do-It-Again' Protocol for Data Engineering 01-20