From raw data to real decisions, we build value not just pipelines

 

At LETSCO, we step in where data becomes an operational asset.

Our Mission

Transform your data into actionable insights by leveraging solid architectures, robust governance, and intelligent information exploitation.

We combine deep technical expertise with clear business vision to design data solutions tailored to your challenges.

Our Areas of Data Expertise

Data Engineering

Designing robust pipelines to ingest, transform, and orchestrate data flows  in real time or batch.
A performance-driven approach focused on automation and maintainability.

Data Architecture

Designing scalable, cloud-native, or hybrid architectures that meet volume, security, and governance requirements.
Technology choices guided by sustainability, flexibility, and cloud performance.

Business Intelligence

Building interactive, intuitive dashboards aligned with your business objectives.
Data modeling for clear insights and informed decision-making.

Data Quality & Gouvernance

Implementing quality and compliance frameworks to ensure reliable data and strengthened traceability.
An approach that combines next-generation tools with best regulatory practices (including GDPR).

DataOps & Industrialisation

Industrializing data workflows with a DevOps approach : CI/CD, automation, and monitoring.
Goal : reliability, repeatability, and smooth production deployment.

Our Data Experts at Your Service:

Data Engineer

Designs, automates, and secures data pipelines, from sourcing to processing

BI Developer

Models business data and creates effective dashboards for end users

Data Analyst

Analyzes, visualizes, and interprets data to generate actionable business insights

Data Architect

Builds secure, scalable, cloud-native data environments

Scrum Master / Delivery Manager

Facilitates smooth delivery using Agile methodology, manages ceremonies, and removes obstacles

Consultant Data Quality /Gouvernance

Ensures data quality, compliance, and proper documentation of data flows

DataOps
Engineer

Automates deployments and ensures production reliability through DevOps practices

Product Owner
(PO)

Drives the data product vision, prioritizes business needs, and structures features around value delivery