A weekly roundup of data engineering articles, open-source releases and company engineering write-ups, each with a short editorial comment, plus occasional long-form essays on topics such as AI agents and orchestration. Readers get a curated view of current practice in data platforms, lakehouse formats and AI-era data infrastructure.
Website: https://www.dataengineeringweekly.com
Long-form articles on AI engineering, covering topics such as monitoring LLM systems, evaluating agentic systems and context engineering. Posts explain concepts mechanically, include diagrams, and are occasionally paired with workshops run by the author.
A data engineer shares practical thoughts on AI's impact on coding and data work, along with announcements of free and paid learning resources like a SQL handbook and AI career roadmaps. Readers get candid personal reflections on using AI in engineering and frameworks for assessing job tasks.
Career and learning guidance for data engineers, written by a practitioner with big tech experience at Netflix and Airbnb. Issues cover promotion strategy from senior to staff, a level-by-level Databricks roadmap, and data warehouse practices.
A personal, conversational data engineering newsletter covering tools like DuckDB, Arrow Flight, and Delta Kernel, with hands-on Rust experiments. Readers also get sponsored series on customer data platforms and promotion of data events, alongside the author's reflections on AI and staying sharp as an engineer.
One short email a week with hand-picked newsletters from the index. Free, no spam, unsubscribe anytime.
