So, what's Data Espresso?
Before you open this, go make yourself an espresso. You'll need it.
Hey there 👋 ☕
Welcome to Data Espresso, a bi-weekly newsletter in which I’ll discuss various topics related to data engineering and technology in general.
Who am I?
My name is Mahdi Karabiben, and I have been working with data engineering technologies on a daily basis since 2017. My (rather short) career has already allowed me to work with data in very different scenarios: I first started my career at Democracy International, where I worked on visualizing electoral data; after that, I joined the data-marketing firm Numberly to build data pipelines for AdTech use cases; I then transitioned into the financial sector, where I worked on data projects at CA-CIB and FactSet; and now I'm building data products at Zendesk and experimenting with open-source projects in my free time.
I’m someone who has always been very passionate about data, but I also like building human connections. And those are the two pillars of this newsletter.
Why am I starting a newsletter?
Before COVID, I used to take an afternoon coffee break with a colleague of mine during which we discussed topics that range from the latest news, trends, and advancements in the data engineering world to the latest TV show that one of us binge-watched. When I look back at those conversations now, it’s clear to me that those coffee breaks were one of the highlights of my typical workday.
My aim with Data Espresso is to create a similar experience for you as a subscriber. Each issue would consist of the following sections:
3 brief observations related to data engineering (trends, commentary on certain technologies, updates, etc.)
The most interesting article that I came across during the past two weeks.
A sound to code to: This is mostly the result of my 4 years as a member of the radio club back in university - Every issue will come with a song that I personally enjoy coding to.
Out of the comfort zone: This is a section that won’t have anything to do with data engineering or technology as a whole.
As you can see, the idea consists of mixing technology with a human/personal aspect - like in an actual discussion between two people who happen to have the same job, while drinking an espresso.
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To find out more about the company that provides the tech for this newsletter, visit Substack.com.