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Mahdi Karabiben

Head of Product

Mahdi is a product & data leader with eight years of experience in the data space. I spent most of my career designing and building petabyte-scale data platforms in multiple industries (AdTech, SaaS, and Finance) while switching between various hats (data engineer, tech lead, data architect, and ML Ops engineer).

Talks about

Mahdi talks about data engineering, data products, and platforms.

Badges

Data Advocate

Data Product Expert

Data Engineering Expert

Highlights

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

Author of Data Espresso Newsletter

Through Data Espresso, Mahdi talks and shares latest from the modern data space.

Part of TNW's 500 List

Included in TNW's hashtag#T500 list, that recognized the top 500 most talented people under the age of 30 in the digital tech industry!

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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Jun 2

From Haystack to Insights: Three Ways AI is Transforming Product Analytics

AI is rewriting the rules of product analytics—turning chaos into clarity. In this session, Mahdi Karabiben Co-Head of Product , Sifflet will explore how AI automates data workflows, ensures trusted insights through smart observability, and unlocks access for all via natural language.

Data Engineering

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Jun 2

AI as a "last-mile" enabler, dbt Fusion engine, and navigating the thin layer between fact and BS

In this blog, Mahdi talks about - How AI is finally democratizing the Data Platform’s “last-mile” layer, dbt’s new Fusion engine, and why a healthy dose of skepticism is always needed when it comes to data.

Data Engineering

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May 28

How AI is Finally Democratizing the Data Platform’s Last-Mile Layer

Why the ‘Last Mile’ of the data experience — polished data platform capabilities — is no longer just for Big Tech.

Data Engineering

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Apr 16

A new ice(berg) age, revisiting old designs, and thriving on constraints

In this article, Mahdi talks about - The inevitable Apache Iceberg era, the often-overlooked benefits of frequently revisiting design decisions, and the upsides of working in constraint-heavy environments.

Data Engineering

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Feb 3

Will 2025 Be the Year Real-Time Analytics Finally Goes Mainstream?

For years, streaming was too complex and costly. But serverless capabilities and new use cases are making real-time analytics a realistic option for most data teams—a look at how streaming is becoming more accessible in the data space.

Data Engineering

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Jul 20

Data Modeling Techniques for the Post-Modern Data Stack

A set of generic techniques and principles to design a robust, cost-efficient, and scalable data model for your post-modern data stack.

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Mahdi Karabiben

Talks about

Badges

Highlights

Author of Data Espresso Newsletter

Part of TNW's 500 List

Notable Contributions

Heading

Heading

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Insights

From Haystack to Insights: Three Ways AI is Transforming Product Analytics

AI as a "last-mile" enabler, dbt Fusion engine, and navigating the thin layer between fact and BS

How AI is Finally Democratizing the Data Platform’s Last-Mile Layer

A new ice(berg) age, revisiting old designs, and thriving on constraints

Will 2025 Be the Year Real-Time Analytics Finally Goes Mainstream?

Data Modeling Techniques for the Post-Modern Data Stack

Meet other data experts

Your Profile, Your Way!

Have changes or updates for your profile? Reach out to us! Share the latest details & updated resources with us here:

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Mahdi Karabiben

Talks about

Badges

Highlights

Author of Data Espresso Newsletter

Part of TNW's 500 List

Notable Contributions

Heading

Heading

Heading

Heading

Insights

From Haystack to Insights: Three Ways AI is Transforming Product Analytics

AI as a "last-mile" enabler, dbt Fusion engine, and navigating the thin layer between fact and BS

How AI is Finally Democratizing the Data Platform’s Last-Mile Layer

A new ice(berg) age, revisiting old designs, and thriving on constraints

Will 2025 Be the Year Real-Time Analytics Finally Goes Mainstream?

Data Modeling Techniques for the Post-Modern Data Stack

Meet other data experts

Your Profile, Your Way!

Have changes or updates for your profile? Reach out to us! Share the latest details & updated resources with us here: