Data Engineering
Data Pipelines
Without quality data, no high-performing Machine Learning. Data Engineering is the foundation that enables you to collect, transform, and make your data available for analysis and AI. At NeuroVista, we design modern data architectures that evolve with your needs: data lakes, data warehouses, ETL/ELT pipelines, and data quality platforms.
Concrete Use Cases
Analytical query acceleration after migration to a modern data warehouse
Data pipeline reliability through orchestration and monitoring
Storage cost reduction via intelligent partitioning and compression
Near real-time data freshness vs previous daily batch
Data sources integrated into a unified data lake
Our Approach
We build sustainable and scalable data architectures.
Audit & Scoping
Mapping of your data sources, existing quality analysis, and analytical needs identification.
Proof of Concept (POC)
End-to-end pipeline setup on a limited scope. Technology validation and performance testing.
MVP & Industrialization
Data infrastructure deployment (data lake, warehouse), pipeline development, and quality control setup.
Production & Optimization
Pipeline monitoring, performance and cost optimization. New source onboarding and team training.
Deliverables
Key Technologies
Frequently Asked Questions
Build your data foundation
Let's define together the data architecture that will support your AI ambitions.
Schedule a data audit