PyData Yerevan 2022

Nacho Aranguren

I believe in data’s power to identify solutions for the biggest challenges and as unique enabler for business stakeholders to achieve sustainable growth. I have rising experience in creating and leading high-performance teams in the engineering and fintech industries. I created and managed a Data team from scratch, designing and implementing the whole Business Intelligence and ML-ops cloud infrastructure.

As a data professional I am passionate about analysing and integrating data from different sources to design tools and specialised analytics to drive strategic decisions. To further leverage disruptive technologies such as AI and Machine Learning approaches to optimise the relationship with people and customers.

My mission is to be the ally of those who have the challenge to make an impact, and give them the tools to understand performance and what users love.

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Modern Data Stack: Optimising and Scaling Data in a tech company
Nacho Aranguren

A new approach to data integration that Dataops can enable to save engineering time, allowing engineers and analysts to pursue higher-value activities.

The modern data stack (MDS) is a suite of tools used for data integration. These tools include, in order of how the data flows:

a combination of fully managed ELT Pipeline + custom managed ETL pipeline a cloud-based columnar warehouse or data lake as a destination a data transformation tool a business intelligence or data visualisation platform.

114W PAB