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TUR Tech Pulse — follow updates from the tools I use and recommend. Occasional, curated.

Content Tagged "Data Engineering"

This page collects all articles and projects tagged Data Engineering. Tags help you navigate by tool, theme, or topic—whether you're looking for content on specific technologies like n8n or Databricks, or broader themes like workflow automation or hockey analytics.

Content spans agentic engineering, production AI agents, data pipelines, full-stack work, and hockey analytics. Browse other tags, topics, or case studies for applied examples.

Projects describe case studies with real outcomes—conversational analytics prototypes, AI feedback agents, automated content pipelines, and hockey analytics dashboards. Blog posts cover implementation details, tool comparisons, and lessons learned. If you're looking for something specific, the blog index and portfolio offer alternative ways to explore.

Blog Posts

Databricks Cost Optimization: 5 Commands You Run Directly from Cursor

tutorial · · Updated
Five practical tips for optimizing Databricks costs that you can run directly from Cursor. From finding unused clusters to analyzing Spark configurations and reducing data spill.

When to Use a Consultant Instead of Hiring: A Data Engineering Perspective

analysis · · Updated
Hiring a senior data engineer costs €120–200k the first year. But for bounded projects — Databricks buildouts, dbt migrations, lakehouse design — consulting delivers faster and cheaper. Here is when each makes sense.

From Raw Data to Revenue Decisions: Building an End-to-End Analytics Platform

case study ·
How I designed and shipped a full-stack data intelligence system for a global manufacturing company — from Databricks pipelines to AI-powered dashboards.

Integrating APIs with n8n: A Simplified Approach to Workflow Automation

tutorial ·
As an agentic engineer, I've worked on numerous projects that involve integrating multiple APIs to create seamless workflows. ...