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Data engineering

Pragmatic, business-oriented engineering

We ensure that every organization can derive tangible and sustainable value from its data. Our pragmatic approach is aligned with your business challenges. We design and optimize data engineering processes to ensure:

  • High-performance, scalable processing, adapted to the growth of your business
  • Efficient industrialization of workflows, to minimize manual effort and maximize automation
  • Rigorous data governance to ensure traceability, compliance and accessibility
  • Relevant key metrics to guide strategy

Our project approach

Our methodology is both pragmatic and iterative; aligned with your business needs and technical challenges. Our approach guarantees effective, scalable implementation that is adopted by your teams. .

Framing and design

Needs analysis, data audit and definition of objectives. Design of scalable, secure data flows.

Development and automation

Set up data pipelines and automate processing. Integration of DevOps / CI/CD best practices for greater agility.

Deployment and adoption

Performance validation and secure access. Training and support to increase team skills.

Continuous optimization

Performance monitoring and adjustments. Evolution of architecture according to needs and technological innovations.

Our commitment: We provide a robust, scalable solution that is focused on business value and can turn your data into a real performance driver!

Our expertise

01

Data centralization and integration

We collect and consolidate your data from multiple sources (such as CRMs, ERPs and IoT) into a data warehouse, data lake or other analytical platform. We also archive your data to preserve your company’s wealth of information.

02

Cleaning, processing and enrichment

We guarantee the quality of your data by eliminating anomalies and duplicates, structuring information in suitable formats, and enriching it with internal or external sources (cross-referencing data, adding classifications, etc.) to refine the analysis.

03

Automating and orchestrating data flows

We design automated data pipelines to continuously feed your analytical and operational systems.

04

Data preparation and accessibility

We prepare data to meet the specific requirements of business teams, ensuring it is of a high quality, relevant and accessible. This approach ensures that data is immediately usable for strategic analysis, facilitating informed and effective decision-making.

05

Assistance in defining requirements

We work closely with your business teams to understand and express their data requirements, keeping in mind their operational and strategic objectives. Using scoping workshops, interviews and audits, we translate these needs into clear business specifications that are perfectly aligned with the challenges facing your organization.

In addition, we rigorously adhere to best practices in development and architecture, ensuring the long-term quality, maintainability and durability of the solutions we implement.

Technology solutions

Microsoft Fabric

Data Build Tool

Our data engineering learning courses

Learn data engineering with our Data Academy!