ETL — Extract Transform Load
Data is transformed before being loaded. Ideal for warehouses with strict schemas and complex business rules.
Data engineering
Design, deployment and monitoring of robust ETL/ELT pipelines to centralize and transform your data in real time.
Data is transformed before being loaded. Ideal for warehouses with strict schemas and complex business rules.
Raw data is first loaded, then transformed in the warehouse (dbt). Perfect for Snowflake, BigQuery and Redshift.
Kafka, Flink or Spark Streaming for cases requiring sub-second latency: fraud, alerts, live dashboards.
Orchestrated by Airflow or Prefect for scheduled loads (nightly, hourly) with error recovery and dependencies.
Data stratification into increasingly refined layers, from raw to analytics.
ERP, CRM, API, CSV files — all your data sources
Raw ingested data as-is — no transformation
Cleaned, deduplicated and validated data — ready for analysis
Aggregated and modeled data for KPIs and dashboards
BI, ML, reports — your teams access business-ready data
E-commerce
ERP, CRM and online store brought together in a single data warehouse, for reliable reports in one place.
Finance
A continuous stream of transactions, with automatic alerts when a threshold is crossed.
Enterprise
Moving from an on-premise warehouse to the cloud, planned to limit downtime and allow a rollback.
Applications that solve real problems, with a long-term vision.
Leveraging your data to automate, predict and optimize.
Clean code, robust architecture, built-in security.
Generative AI, cloud, automation, user-centered UX.