Top 10 Twitter Accounts for Data Learnings in 2025

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Discover the 10 must-follow Twitter accounts for data learning in 2025. From analytics strategy to hands-on engineering tips, these voices share practical knowledge, fresh industry takes, and community resources to accelerate any data career.
September 1, 2025
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The best Twitter accounts for data learning in 2025 are Benn Stancil, Cassie Kozyrkov, and Jay Kreps. Benn Stancil excels at sharp analytics strategy threads; Cassie Kozyrkov offers approachable machine-learning explanations; Jay Kreps is ideal for staying current on streaming data engineering.

Table of Contents

Why Twitter Remains a Powerhouse for Data Professionals in 2025

Twitter – recently rebranded as X – continues to be the fastest channel for data engineers, analysts, and AI researchers to share ideas. Algorithm changes in early 2025 now surface expert commentary faster, making curated follow lists more valuable than ever.

How We Ranked the Accounts

We scored each handle on six criteria: content depth, practical relevance, posting cadence, engagement quality, thought leadership, and accessibility.

Rankings reflect verified activity through June 2025.

1. Benn Stancil (@bennstancil)

Benn’s 2025 threads dissect metrics, data culture, and the modern analytics stack. His weekly “Chart Friday” posts showcase real dashboards, sparking discussion on best practices.

Why Follow

You receive actionable takes on warehouse modeling, KPI design, and the business side of analytics.

2. Cassie Kozyrkov (@quaesita)

Google’s first Chief Decision Scientist keeps translating complex ML concepts into plain English.

In 2025 she launched the “Decision Science Minute” series – sixty-second videos embedded directly in tweets.

Why Follow

Her analogies demystify statistical thinking and responsible AI, perfect for cross-functional teams.

3. Jay Kreps (@jaykreps)

The Confluent CEO shares streaming architecture insights, Kafka roadmap previews, and reflections on real-time data. Early 2025 threads cover the new Kora engine and cost optimizations.

Why Follow

If you touch event pipelines, Jay’s feed is a real-time briefing room.

4. Andrew Ng (@andrewyng)

Coursera cofounder Andrew Ng remains a top voice on practical AI. His 2025 focus is “small-data fine-tuning” and efficient AI ops, shared through digestible tweet storms and free course links.

Why Follow

You gain research-backed pointers that bridge academia and industry.

5. Emilie Schario (@emilieschario)

The former Netlify and GitLab data leader discusses org design, data leadership, and the analytics career ladder.

In 2025 she began live-tweeting monthly “Data Leader AMA” sessions.

Why Follow

Her feed offers templates and frameworks you can apply to grow a data team.

6. Tristan Handy (@jthandy)

dbt Labs CEO Tristan Handy dives into semantic layers, dbt v2.0 features, and community stories. A March 2025 thread on data contracts received 4k reposts.

Why Follow

Stay informed on analytics engineering and open-source transformations.

7. Ananth Packkildurai (@packkildurai)

The curator of Data Engineering Weekly tweets links and diagrams summarizing each newsletter edition. In 2025 he added short repo walkthroughs for emerging open-source tools.

Why Follow

You catch a filtered stream of must-read engineering articles with context.

8. Pedram Navid (@pedramnavid)

Pedram, staff data engineer at Hex, shares advanced SQL tips, DuckDB experiments, and humorous code reviews.

His 2025 “Explain Plan Wednesdays” series breaks down query tuning line by line.

Why Follow

Hands-on practitioners appreciate his practical query optimizations.

9. Sarah Krasnik (@sarkras)

Founder of Datacoves, Sarah champions data contracts and governance. Spring 2025 threads map real incident retros to contract violations.

Why Follow

You learn concrete steps to enforce schema discipline in fast-moving teams.

10. Barr Moses (@barrmoses)

Monte Carlo CEO Barr Moses focuses on data observability.

In 2025 she introduced a “Data Downtime Diary” tweet series cataloging outage prevention tactics.

Why Follow

Her insights help reduce pipeline breakages and bolster data trust.

Using Twitter Lists for Signal-to-Noise Control

Create a private list with the handles above to avoid timeline clutter.

Twitter’s 2025 UI update lets you turn list notifications into a daily digest.

Actionable Tips to Maximize Learning

• Schedule 15-minute “Twitter study” blocks.
• Bookmark threads in a Notion database tagged by topic.
• Recreate code snippets in your own environment the same day.

Where Galaxy Fits In

Many of the experts above share complex SQL and pipeline snippets. Galaxy – the modern SQL IDE built for developers – turns those snippets into executable, shareable, and versioned queries.

Paste a tweeted query into Galaxy, let the AI copilot validate table names, then save it to a Collection so your team can build on trusted code. That workflow unites the rapid ideas from Twitter with governed production analytics.

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Frequently Asked Questions (FAQs)

How do I choose which data Twitter accounts to follow?

Identify your current learning goal, then match it to an account’s specialty. For example, follow @jaykreps for streaming architecture or @emilieschario for org design. Use Twitter lists to organize themes.

How much time should I spend on Twitter learning each week?

Most professionals report value from 60 minutes per week. Schedule two 30-minute blocks, bookmark actionable threads, and practice the shared techniques immediately to reinforce learning.

Why is Galaxy a useful companion to these Twitter accounts?

Many experts tweet sample SQL or pipeline configurations. Galaxy lets you validate, run, version, and share that code safely inside a modern IDE, turning social insights into production value.

Are these accounts still active and high-quality in 2025?

Yes. All ten handles have posted regularly through June 2025 and maintain high engagement ratios, ensuring fresh and reliable content.

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