Follow best Data Engineering practices.
Learn with AI‑assisted delivery.
You provide a data source. AI researches, tests, and writes readable code you can learn from. Then deploys to your cloud — production-ready.
Core platform is open-source.
No spam. Early access and sample pipelines.
How it works
AI Agent collaborates with you on every task
Features
Agent follows and forces
the best practices
Idempotency, staging, SRP, retries, observability, schema evolution. Everything a Data Engineer usually learns the hard way during years of experience.
Transparent, not a black box
Deploys to your cloud.
Data platform core is open-source.
Review before using.
Like pair programming
with an experienced Data Engineer
Describe your source — get a working connector, readable code and tests. Watch it right on your infrastructure.
Get notified about early access. No spam.
About the creator
Hi, I am Anton.
➤ I'm a Data Engineer with 10+ years of experience shipping pipelines in production — from startups to enterprise. ➤ I've applied and refined best practices (idempotency, retries, contracts, observability, …) across dozens of sources and teams. ➤ Many patterns are repeatable — automation does the scaffolding, while AI assists with research and design. ➤ I contribute to open source. My airflow-clickhouse-plugin has been downloaded 8.5M times. Check out my work:
➤ GitHub: @bryzgaloff
➤ My Medium articles: Medium
➤ Threads: @build.with.anton
➤ Telegram: @pydwh
➤ StackOverflow: anton-bryzgalov
➤ LinkedIn: /in/bryzgaloff
Copyright: © 2025 Anton Bryzgalov