Data Engineering

To make data-driven decisions you need fast, secure and reliable data.

Our engineers design and build data platforms and products that enable you to make smarter decisions through valuable insights.

Certified Developers Apache Spark 3.0

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We build:

Data Pipelines

Whether it’s on premise, or in the cloud, customers need data they can rely on. Our engineers build pipelines that transport and transform data into highly usable and valuable assets.

Data Models

Business and technical teams need to solve data problems together by talking the same language. We build data models that align teams, give business insights, and improve over time through feedback loops.

Data Teams

It takes more than talented individuals to deliver successful data projects, it requires talented teams. We build data teams that focus on a shared responsibility of finding simple solutions to complex data challenges.

We follow these Guiding Principles:

Core Principles

Our Experts

Herminio Vazquez

Machine Learning Consultant

A seasoned consultant in the optimization field, helping organizations in their data journeys.
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Herminio can help you assess your data architecture, build reliable and robust pipelines, and developing predictive models on top of it.

Deeply involved in industry conferences and academia, he maintains a fresh mind that brings to our clients to help them overcome data challenges.

Jelmer Visser

Data analytics Consultant

Jelmer is specialized in data modeling and research.

Where data modeling is used to describe your business process, service, or product from a data perspective with the goal to translate data into business requirements.
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He likes to challenge organizations on their data-driven ambitions to make data convert into business actions.

Business Intelligence

Adrian Alanis

Senior Data Engineer

He is a very talented Data engineer focused on Spark development with an extensive background in performance engineering and infrastructure automation using the leading industry tools.

He is passionate about open source software and fitness in general.

Carlos Huerta

Role or Position

Full-stack data scientist, I love to deep dive into data to discover value, I combine both machine learning and statistics models to develop tailor made data driven solutions for your business.

Specialist in developing data products from proof of concept to deployment.

I also have expertise in data minning, data visualization and data analysis.

Sidharth Kalra

Data Engineer/Architect

Sidhartha is an expert in both stream and batch processing of data.
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He has over 7 years’ experience in building big data pipelines, with a solid software development background.

He has led multiple projects to build high-performing data platforms that support petabyte-scale.

Data pipeline optimization

Herminio Vazquez

Machine Learning Consultant

A seasoned consultant in the optimization field, helping organizations in their data journeys. Herminio can help you assess your data architecture, build reliable and robust pipelines, and developing predictive models on top of it.

Jelmer Visser

Data analytics Consultant

Business Intelligence

Adrian Alanis

Senior Data Engineer

He is a very talented Data engineer focused on Spark development with an extensive background in performance engineering and infrastructure automation using the leading industry tools.

Carlos Huerta

Data Scientist

Full-stack data scientist, he loves to deep dive into data to discover value. He combines both machine learning and statistical models to develop tailor-made data-driven solutions.

Sidharth Kalra

Data Engineer/Architect

Data pipeline optimization

Sidhartha is an expert in both stream and batch processing of data. He has over 7 years’ experience in building big data pipelines, with a solid software development background.

Stories

Legacy data warehouse to data lake in the cloud: Open Heart Surgery

Sidharth Kalra

Most organizations are embarking on a digital transformation journey, in which they are moving their data processes from legacy systems to the cloud. The purpose of this journey is to have better-structured data that can be used to gain valuable insights focused on improving all aspects of the business. However, this involves a lot of work.

Data Economics in Data Teams

Herminio Vazquez

A Data Product Project I recently completed at a long-standing client, ceased abruptly, due to a centralized strategic move towards the well-known economies of scale.

The right data modeling for your business

Jelmer Visser

In this article, I would like to share my experience on why data modeling is important, what types of data models you could use, and help you to start your data modeling process.

Resources

IOVIO Repositories

GitHub

Data Journey - Master Class Lecture

Data-Driven Innovation Lecture

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