We're not just data experts; we're architects of trust.

Solutions for

Our Services

What can we do for you:

We combine technical expertise with a focus on reliability to provide unparalleled data solutions.

Specializing in Databricks and Azure Cloud platforms, our experienced team creates scalable, custom-tailored solutions to meet your unique needs. Trust is fundamental at Lenotis, guiding our technology choices and client relationships. Partner with us for integrity, excellence, and value-driven solutions.

Datalake

Harness the full potential of your data with Lenotis' Data Lake Implementation services. We architect scalable and reliable data lakes that seamlessly integrate with your existing infrastructure, enabling centralized data management and advanced analytics.

Artificial Intelligence

Elevate your decision-making with Lenotis' Artificial Intelligence services. We design and deploy AI models that align with your business objectives, offering actionable insights and automated solutions for enhanced efficiency and competitiveness. Transform your data into strategic advantage.

MLOps

Optimize your machine learning lifecycle with Lenotis' MLOps services. We integrate DevOps practices into your ML systems, ensuring seamless deployment, monitoring, and maintenance of your models. Achieve faster innovation, scalable solutions, and data-driven excellence with our comprehensive MLOps support.

Business Intelligence

Elevate your strategic insights with customized BI solutions. We deliver customized BI solutions, fine-tuning data models and semantic layers to match your unique business demands. Our approach simplifies complex data, offering you clear, actionable insights for informed decision-making.

Use cases

Datalake Solution

European DataLake

Problem:
Needed a unified DataLake to integrate data from 8 different countries and multiple administration systems efficiently.
What we did:
Developed a robust framework for streamlined data ingestion and cleaning, leveraging DataBricks technology. Our solution enabled quick ETL creation and table ingestion, featuring a quarantine layer for handling dirty data without disrupting processes. Automated schema management, table relationships, validation rules, and custom transformations were easily implemented, facilitating a user-friendly environment.
Results:
Successfully delivered a comprehensive, reliable DataLake framework, becoming the cornerstone for management information reporting and empowering various teams to efficiently ingest their data with a solid, feature-rich foundation.

Testimonials

What our customers have to say

"The data pipelining, ETL and data lake project has provided the business with a robust, reliable source of data, drastically reduced the number of queries about data accuracy and has hugely increased confidence in our MI. The quality of our discussions has significantly increased, with vastly more time now spent on generating insights and analysis rather than questioning the reliability and quality of our data."

Kevin O'Donovan

Director of NM Data & Analytics

"During the time that William Mesquita was on the project, he was one of the most key elements, not just because of their expertise but they also demonstrated a high level of coaching for the more junior members and always bringing new ideas for the project. They implemented very critical and crucial functionalities that not only put the project on a different level but also with very important cost savings."

André Garrido

Head of Software Development for Data Processing at Kantar

"Lenotis participation in Data Lake Project with the implementation of ETL and Quarantine layers have enabled our team to quickly advance and develop Dashboards and Reports to our Business Teams. This toolkit is helping our local Data Analytics team be more efficient in delivering a greater business value to MI Products, as well as, increasing confidence in the data accuracy of our MI Dashboards."

Carlos Adrião

Data Operations Manager at Markel

Who we are

William Mesquita
Managing Partner
Co-owner and Lead Data Engineer at Lenotis, specializing in designing scalable, maintenance-friendly data solutions on Azure Databricks. Spearheaded teams to process terabytes of data, with a strong emphasis on big data and lean architecture.
Emanuel Fontelles
Head of AI
With a Master's degree in Computational and Statistical Physics and has over a decade of experience in data engineering and machine learning. His areas of expertise include advanced AI solutions and strategic insights.
Jonathan Sales
Head of Data Engineering
With a PhD in Physics, he has worked in computer simulations, data processing, and analytics for about 10 years. For almost three years, he has been working as a data engineer, focusing on Azure cloud services and Databricks.