Data Engineer Things

Data Engineer Things (DET) is a global data engineering community for data professionals to connect and learn.

[Data Engineer Things @dataengthings]

May 2026 Data Engineering Newsletter is out 🚀
🔹 1,101 DEs surveyed on AI adoption: the gap is real
🔹 Spotify saved 10 engg weeks with coding agents
🔹 Meta mapped tribal knowledge across 4,100+ pipeline files with AI
& more
https://t.co/QJQrlrXLYx #DataEngineering #AgenticAI

[Data Engineer Things @dataengthings]

This month in data engineering, April 2026: Context engineering for AI-native platforms, Spotify's pipelines behind Wrapped 2025, Uber's Petastorm for high throughput, DuckLake 1.0 production release, and more. All packed into the latest DET Newsletter: https://t.co/FVtvtiz8b8

[Data Engineer Things @dataengthings]

This month in data engineering, March 2026: OpenAI's P99 latency with 800 million users, Netflix's LLM post-training, LinkedIn's exabyte-scale clusters, ETL → ECL, and more. All packed into the latest DET Newsletter: https://t.co/wbMb0ErI8Z

[Data Engineer Things @dataengthings]

February 2026 DET Newsletter is live!

Netflix's Data Bridge — unified data movement
Uber's trillion-record lake — Hudi at scale
LinkedIn's job ingestion — millions of records
AI skills CLI for DE workflows
Read it here
https://t.co/aygorXrjx0

#DataEngineering #ApacheHudi #AI

[Data Engineer Things @dataengthings]

This month in data engineering, Jan 2026: Templatizing Spark Declarative Pipelines, Meta’s Video Invisible Watermarking at Scale, Lyft’s Feature Store architecture and more, all of which is packed into the latest DET Newsletter.

https://t.co/fCogprqxZA

#dataengineering
#AI

[Data Engineer Things @dataengthings]

This month in data engineering, December 2025: Thinking like a Data engineer, Real-time distributed graph, Secret behind super fast databases, Multimodal data workloads, and more. All packed into the latest DET Newsletter: https://t.co/ZFpmhcVdoM

#dataengineering
#AI

[Data Engineer Things @dataengthings]

This month in data engineering, Nov 2025 🚀: how TikTok built a unified lakehouse using Apache Paimon to support large-scale recommendation models, processing 600TB in 5 hours with Flink CDC for real-time features, lessons from experienced DEs and more: https://t.co/Y7FNSVGavG

[Data Engineer Things @dataengthings]

This month in data engineering, October 2025: Netflix's journey to trillion-row scale. Open-source stream processing in Rust. Are platforms really simplifying our lives? Tips on cutting through architectural complexity.

Read the latest DET Newsletter: https://t.co/fGjP4TpQQK

[Data Engineer Things @dataengthings]

This month in data engineering, Sept 2025: Open-Source Breakthroughs with Sail and MLflow, Hidden Infrastructure Behind ChatGPT, Streaming Data Into Iceberg, Data Quality Tips, and More.

All packed into the latest DET Newsletter: https://t.co/F4OcQWI1If

#dataengineering
#AI

[Data Engineer Things @dataengthings]

We are looking for speakers for our Warsaw Meetup (next on Sept 25). All topics within the broad scope of data engineering are welcome.

To speak, submit the CFP form: https://t.co/2T1LR3jWgV

To attend, join the meetup group: https://t.co/kJS7By1nig

#dataengineering

[Data Engineer Things @dataengthings]

This month in data engineering, August 2025: Agentic Data Engineering, NY Meetup on September 25, Data Modeling for Data Products, What Makes a Great Data Engineer, and more.

All packed into the latest DET Newsletter: https://t.co/w1yx5KC9tT

#dataengineering
#AI

[Data Engineer Things @dataengthings]

We are looking for speakers for Data Engineer Things (DET) Meetups in several cities: Bay Area (early Sept), NYC (Sept 25), and Warsaw (late Sept). Submit talk ideas here: https://t.co/2T1LR3jWgV

#dataengineering

[Data Engineer Things @dataengthings]

This month in data engineering, July 2025: new AI tools, open-source highlights from DAIS 2025, Seattle Meetup on July 24, Git-for-Data, practical DE tips, and more.

All packed into the latest DET Newsletter: https://t.co/seMK53P6V8

#dataengineering

[Data Engineer Things @dataengthings]

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