Writings

Technical writing on data engineering, AI automation, workflow orchestration, and modern data stacks. I cover practical implementation—how things actually work in production—alongside reflections on tooling, cost optimization, and building systems that scale. Topics range from n8n vs Zapier comparisons and Databricks medallion architecture to hockey analytics and Swedish NHL player analysis.

Browse by topic or explore the portfolio for case studies that put these ideas into practice.

New posts appear regularly as I work on real projects—documenting what works, what doesn't, and how to make data and automation investments pay off. You can also filter by tag to find content on specific tools or themes.