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dltHub Profile
dltHub

@dltHub

Followers
444
Following
199
Media
73
Statuses
259

dltHub is the creator of data load tool (dlt)

Berlin
Joined November 2022
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@dltHub
dltHub
13 days
@smalldatasf @continuedev @motherduck @matthausk Featuring: @bdougieYO - Head of Developer Experience at Continue @elviskahoro - AI Developer Advocate at Chalk Thierry Jean - Senior AI Engineer at dltHub All spotlighting how simplicity scales in modern data engineering.
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@dltHub
dltHub
13 days
At @SmallDataSF we’re going hands-on with one idea: keep data simple & scalable → for builders who want less tooling pain and more insights. Featuring experts from @continuedev, Chalk & dltHub, joined by @motherduck & @matthausk  👉 Be part of it:  https://t.co/hw5RUh9QTv
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@metabase
Metabase
25 days
Student → Data Engineer in one internship 🔝 @dltHub@SQLMesh@PostgreSQL → Metabase = Complete pipeline from ingestion to insights. Full write-up: https://t.co/ZOE5m6IkjR
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@_odsc
ODSC (Open Data Science Conference) AI
18 days
At ODSC AI West 2025, @ProtagonistAB87, @dltHub, will lead a hands-on workshop designed for data engineers ready to move beyond brittle scripts. 🔗 Register now → https://t.co/72URhisbi0
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@dltHub
dltHub
19 days
From “plausible but wrong” to production-ready. Our LLM scaffolds start with deterministic parsing + AI semantics to build reliable pipelines that work. Less debugging, faster onboarding. Read more 👉
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dlthub.com
This is the story of how we made our LLM generation workflow superior to starting from raw docs.
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@dltHub
dltHub
25 days
The real AI win isn’t perfection, it’s scaled mediocrity. Doing less with less at massive scale drives massive ROI: 50 “good enough” ads in minutes, instant survey insights, and more. Empower teams with practical AI tools that unlock real impact. 🔗 https://t.co/HYJcohO4jb
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@dltHub
dltHub
28 days
This isn't about AI taking jobs. It's about AI exposing what the real job should have been all along. Building systems of trust. Asking "do I trust this output?" instead of "how do I write this script?" The intern is here. It's waiting for a manager. https://t.co/TVp1Tpfmdb
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dlthub.com
This is, we’re told, the great democratization of data engineering. The tedious work is gone. The barrier to entry is gone. Everyone can now be a data engineer.
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@dltHub
dltHub
28 days
Then the LLMs arrived. Suddenly, there's an AI intern who can write that heroic query in seconds. An intern who can build a thousand handcrafted pipelines a day. It's here to automate the firefighter's job into oblivion.
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@dltHub
dltHub
28 days
For years, the most celebrated person on the data team was the one who could write the heroic, last-minute query. We celebrated firefighters. Craftsmen. We built a culture around reacting, not architecting. A leverage trap of our own making.
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@dltHub
dltHub
1 month
Whether you're 😤 tired of rebuilding ingestion pipelines, 🔧 looking to integrate Python tools into your data stack or just 💡 curious about modern ELT approaches, this guide has something for you. Read Erfan's full post: https://t.co/sy3F3dH7ls #DataEngineering #Python #dlt
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@dltHub
dltHub
1 month
The best part? Anyone who knows Python can build senior-level pipelines. No new frameworks. No specialized expertise. Just Python doing what it does best.
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@dltHub
dltHub
1 month
Erfan's guide covers: ⚡ ETL vs ELT (avoiding data swamps) 🐍 Why Python devs need simpler tools ⚙️ Auto schema evolution & incremental loading 💻 MySQL-to-DuckDB example ☁️ Deploy on Lambda, Airflow, K8s
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@dltHub
dltHub
1 month
Perfect Friday reading: Erfan Hesami's guide to dlt makes data pipelines actually simple. Our co-founder spent 10 years rebuilding the same pipelines. One question changed everything: "What if we could reuse code?" That became dlt.
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@dltHub
dltHub
1 month
Out-of-memory errors? Painful reloads? Broken schemas? If pandas’ to_sql is holding you back, what you really need are production pipelines that efficiently stream data and this tutorial walks you through it: https://t.co/yB44HUnnZT | Hear Adrian Brudaru at @_odsc  West Oct 28-30
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dlthub.com
For quick tasks, df.to_sql() is perfect. But for production pipelines, it quickly shows its limits when data volume, frequency, and schema change.
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@dltHub
dltHub
2 months
We’re an official launch partner for @motherduck EU expansion! Blazing-fast, serverless DuckDB warehousing now fully in 🇪🇺 + native DuckLake support in dlt, managed via MotherDuck or direct loading. Docs: https://t.co/mpIeX8okJw MotherDuck’s waitlist:
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motherduck.com
Serverless analytics built on DuckDB, running entirely in the EU.
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@dltHub
dltHub
2 months
Pipelines working...but platform missing? This hands-on workshop covers lightweight infrastructure, CI/CD, and flow automation for real-world data workflows. Location: Online Date: September 24th, 2025 Time: 16:00 (CET | Berlin) https://t.co/DjNSRYMeXy
community.dlthub.com
Learn to productize your data platform and orchestrate dlt pipelines. This hands-on workshop covers lightweight infrastructure, CI/CD, and flow automation, giving you practical steps to build a...
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@changhiskhan
changhiskhan
2 months
Sold out room for the @lancedb and @dltHub tutorial @ @pydataberlin @PyData . Had a lot of fun doing this workshop with Violetta and Ashish @dltHub !
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@Al_Grigor
Alexey Grigorev
5 months
New free short course on data engineering with Python and AI/LLMs! Together with Adrian Brudaru (CEO of @dltHub), we created a new free course, and it’s now live on @freeCodeCamp! Here's what it covers:
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@dltHub
dltHub
5 months
Great to see one of the OSS Ecosystem tools flourish! We are using LanceDB to build AI pipelines, it gives us a fast, structured way to store and search embeddings, product data, and content.
@lancedb
LanceDB
5 months
Today we’re announcing our $30 million Series A. This round is led by @Theoryvc with support from @CRV , @ycombinator, @databricks, @runwayml , @ZeroPrimeVC , @swift_vc, and more. Your belief in a future powered by multimodal data brings us one step closer to that reality.
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