Before becoming an analytics engineer, I worked in marketing, communications, customer support, and hospitality. I noticed how each of these fields, in their own way, benefit from decisions backed by data. Which fields don’t, after all? After spotting this pattern, I decided to retrain as a self taught data analyst, to then complete the Nimbus Intelligence Academy program and graduating as an Analytics Engineer obtaining certifications in Snowflake, dbt, and Alteryx. I'm now equipped to bring my unique perspective to any data driven team.
I follow the Snowflake Data Superheroes on LinkedIn to get useful insights and updates about Snowflake. Today I found this post of Tomáš Sobotík introducing ... Read more.
Recently, dbt (data build tool) released Column-Level Lineage (CLL) within dbt Explorer, offering granular insights into the origins and transformations of data... Read more.
“Most of the world will make decisions by either guessing or using their gut. They will be either lucky or wrong.” – Suhail Doshi, chief e... Read more.
First of all, what is a Customer 360? Hint: it’s not a trick one can do on a skateboard or a BMX. A Customer 360 view is a game-changing asset...... Read more.
Header photo by Kaffeebart on Unsplash On May 31, 2024, Ticketmaster confirmed a data breach that resulted in the loss of personal information for numero... Read more.
Third blog of the Road to Snowflake Data Engineer series. If you missed the first two, I’ll link them here Road to Snowflake Data Engineer: Data Movement ... Read more.
Second blog of the Road to Snowflake Data Engineer series. If you’ve already read the part 1, Road to Snowflake Data Engineer: Data Movement, you can scro... Read more.
In this blog post, one of a five-part series, I dive into the five domains assessed in the Snowflake SnowPro® Advanced Data Engineer exam, as outlined in the ... Read more.
Last night, I attended the 10th Analytics Engineering Meetup in Amsterdam. It was my first Analytics Engineering Meetup and the first time seeing the GitHub Cop... Read more.
Navigating the complex landscape of data management in marketing can be daunting. Misleading data can lead to wrong decisions that can lead to huge losses. But,... Read more.