Substacks recommended by Pipeline To Insights

Recommended by Pipeline To Insights

A newsletter to help you master software engineering, DevOps, data science, and emerging tech, empowering developers with useful tools.

Data Modernisation Journey

By Khurram

A newsletter for tech leaders navigating the complexities of migrating from legacy platforms to the cloud. Insights from a 15-year enterprise data architect.

Data Tinkerer

The latest updates on data science, data engineering and data analysis - for free!

Check out datatinkerer for the latest updates on data science, data engineering and data analysis

- Pipeline To Insights

The Data Governance Playbook

By Charlotte Ledoux

Your go-to resource for mastering Data Governance through practical tips, expert insights, and a touch of humour !

The ADHD Engineer

By Zach Wilson

This Substack is to help engineers who have ADHD succeed in becoming excellent at what they do

If you're eager to dive into the technical side of data engineering from one of the best, make sure to follow Zach. He also has his own teaching platform and runs boot camps to help you level up your skills.

- Pipeline To Insights

Junaid Effendi | Sharing knowledge for Engineers

Covering tech, career, data, growth experiences from my journey.

He shares content about data engineering and software engineering and we beleive his content are really nice

- Pipeline To Insights

VuTrinh.

By Vu Trinh

My mom reads my articles to support her son. Now, she can design a data architecture and write ETL scripts.

Data Runs Deep

By Kendra

Explore the opportunities and impacts of data and AI in the world today alongside a forever curious lapsed physicist with an insatiable interest in real world impacts and 7 years spent building AI powered products in SaaS companies with global reach.

DataExpert.io Newsletter

By Zach Wilson

A newsletter dedicated to talking about data engineering, AI, and data science trends

Practical Data Modeling

By Joe Reis

Welcome to Practical Data Modeling! Whether you're a beginner or an experienced data professional interested in leveling up your data modeling, we will help you take your skills to the next level.

Ju Data Engineering Newsletter

By Julien Hurault

Each week, I explore and write about the latest tools and best practices for building data platforms.

He is a freelance data engineer and sharing great contents on data engineering

- Pipeline To Insights

The Pipe & The Line

By Ale

Hands-on guides, tools, and experiments to sharpen your Data & AI Engineering skills from someone who learned it all in the wild.

Alejandro is a former Marketing Analyst who transitioned into Data Engineering. He shares his daily challenges and learnings as he grows in the field.

- Pipeline To Insights

Data Gibberish

By Yordan

[FREE 7-Day Data Leadership Accelerator] I once turned one data win into a 40% raise in under two hours. Data Gibberish shows you how to do the same. You’ll turn invisible grind into undeniable wins that buy you budgets, recognition, and freedom.

Yordan is sharing very practical insights and experiences.

- Pipeline To Insights

Data Engineering Weekly

By Ananth Packkildurai

The Weekly Data Engineering Newsletter

Joe Reis

My rants on data, technology, and business

If you're keen to learn the ins and outs of data engineering from an industry leader, be sure to follow Joe Reis. He offers valuable insights through his book, courses and substack. He is currently working on Data Modelling book whcih I am excited for that

- Pipeline To Insights

ShortlistHR

By Kerry Peters

Growing your career alone is impossible. ShortlistHR helps Caribbean professionals accelerate their career through premium job listings, 1:1 coaching and mentorship, and exclusive insights about hiring and salaries you won’t find elsewhere.

The Future of Caribbean Careers- ShortlistHR connects you to the insights, mentorship, and community you need to grow and succeed.

- Pipeline To Insights

SeattleDataGuy’s Newsletter

Learn About End-To-End Data Flows (Data Engineering, MLOps, and Data Science)