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I've been leading the data infrastructure efforts at my job (I used to work as a Data Engineer in big tech) and the stack we've landed on is so enjoyable to work with. @dagster.io - Orchestration @duckdb.org - Database @motherduck.com - Data Warehouse/storage DBT - Data modeling

It's a very simple stack whose core philosophy is _just write SQL_. DuckDB makes managing the data _easy_ and allows us to ingest sources natively from just about anywhere we'd need to. Using DuckLake also means we have almost 1:1 parity with an Iceberg stack w/o the overhead of metadata files.

Dagsters "software defined assets" model is such a good heuristic for managing data orchestration pipelines. It's architecture is also incredibly simple and easy to maintain. Controlling dependencies, visualizing lineage, and integrations with tons of other tech make it a joy to work with.

There's a bit of a learning curve with this stack, especially if you come from tools Airflow, Spark, or Trino. But once you're able to understand it, it's surprisingly simple. This is one of the things I'm most proud to have been working on in my career.

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