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Madison Schott

With diverse experiences, Madison is immensely passionate about all the nitty-gritty of data, helping organisations modernize the data stack by choosing and implementing the right tools for shifting from data-informed to data-driven.

Senior Modern Data Stack Engineer at ConvertKit
Talks about

Madison shares her amazing experiences as an analytics engineer, thereby helping data professionals gain insights into this space and apply its modern strategies in their work, alongside upscaling her dbt game.

data engineering
data analytics
Badges
Data Engineering Expert
Analytics Expert

Highlights

See the "what". Explore their accomplishments, groundbreaking projects, and industry recognition. Witness how they're shaping the future of data.

Newsletter - Learn Analytics Engineering

In this newsletter, Madison provides insights and resources for analytics engineers, covering topics like SQL, dbt, Snowflake, and data engineering best practices.

Online Course - Transform Your Data Stack with dbt

This course offers holistic skills for building high-quality dbt projects with robust documentation, testing, and reusable models, aiming to empower learners to confidently implement or refactor dbt and create a scalable data stack with minimal tech debt.

E Book - The ABCs of Analytics Engineering

In this book, Madison shares all things analytics engineering to help data professionals become analytics engineers with crisp, dedicated chapters and guides on where to start regarding your modern data stack.

Notable Contributions

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Insights

Unlock the "why". Dive into interviews, blogs, and videos where thought leaders unpack their insights. Go beyond the resume, connect with the mind behind the expertise.

Data Engineering
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Podcast
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59 min

How to Land Your First Analytics Engineering Role

In this discussion, Madison talks about the skills that aspiring analytics engineers should prioritize and shares insights into the importance of networking and job search, along with tips on interview processes.
Data Engineering
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Blog
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10 min

Future-Proof Your Data Stack: Top Data Engineering Trends of 2024

This article talks about key trends like the rise of real-time data processing, increased adoption of data warehouses and lakes, the importance of data observability for pipeline reliability, and a shift toward modular and reusable data architectures.
Data Engineering
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Blog
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6 min

3 Best Practices for Bridging the Gap Between Engineers and Analysts

In this article, Madison discussed some of the most common problems she faced as an analytics engineer and the best practices you can apply to solve them.
Data Engineering
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Video
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28 min

So You Want to Be An Analytics Engineer?

In this book, Madison shares all things analytics engineering to help data professionals become analytics engineers with crisp, dedicated chapters and guides on where to start regarding your modern data stack.
Data Engineering
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Blog
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4 min

Data Model Design 101: Composite vs Surrogate Keys

In this article, Madison discussed two options for creating a unique key in a data model—a surrogate key or a composite key. What are the differences between these? When should you use one versus the other?
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Data Feast Weekly

Get weekly insights on modern data delivered to your inbox, straight from our hand-picked curations!