👋 Hi, I’m Long 📓

Here are recent thoughts… → see it and what I’m doing at Now

I am a typical engineer, I build and write the functions about data systems, how to bring data to production.

I’m a data engineer and writer passionate about building scalable data systems. I grew up fascinated by how information flows and how we can use data to make better decisions.

My focus is on designing and implementing modernized data platforms, bridging the gap between engineering and analytics. I work with such open-source and cloud technologies to bring data pipelines, real-time streaming, and machine learning workflows into production.

Over the years, I have worked on various data engineering projects, helping organizations build automated ELT workflows, modern data warehouses, and data governance solutions. I also enjoy writing technical content, sharing my experiences, and contributing to the data community through open-source projects DataPods, blogs, and Data Engineering Handbook.

I’m actively exploring serverless data platforms and their impact on modern data engineering. My recent work includes StringX (failed), an open data learning toolkit, and DataPods, an initiative to enable the Modern Open-Source Data Stack.

I strongly believe in continuous learning and sharing knowledge. Through my Data Engineering Handbook and various online resources, I help engineers navigate the evolving data landscape. I also engage with the community through meetups, technical talks, and mentorship.

Brain

Find the Connected Knowledge in Brain → here

I write and talk to reinforce self-learning, trying to explain things better and simpler. I use knowledge package management to shape everything firmly relevant with Mapping of Contents (MoC).

I help companies and individuals launch Automatic Data Engineering Workflow, model Modern Data Warehouse, boost Analytics Engineer, and enhance Productivity. Find more at Topics.