Data engineering

Robust pipelines, streaming data

Design, deployment and monitoring of robust ETL/ELT pipelines to centralize and transform your data in real time.

ARCHITECTURE

Which type of pipeline?

ETL — Extract Transform Load

Data is transformed before being loaded. Ideal for warehouses with strict schemas and complex business rules.

ELT — Extract Load Transform

Raw data is first loaded, then transformed in the warehouse (dbt). Perfect for Snowflake, BigQuery and Redshift.

Real-time streaming

Kafka, Flink or Spark Streaming for cases requiring sub-second latency: fraud, alerts, live dashboards.

Batch + Micro-batch

Orchestrated by Airflow or Prefect for scheduled loads (nightly, hourly) with error recovery and dependencies.

BEST PRACTICE

Medallion Architecture

Data stratification into increasingly refined layers, from raw to analytics.

01

Sources

ERP, CRM, API, CSV files — all your data sources

02

Bronze

Raw ingested data as-is — no transformation

03

Silver

Cleaned, deduplicated and validated data — ready for analysis

04

Gold

Aggregated and modeled data for KPIs and dashboards

05

Consumption

BI, ML, reports — your teams access business-ready data

USE CASES

Pipelines for every need

STACK

Our data engineering stack

  • Apache Spark
  • Apache Kafka
  • Airflow
  • dbt
  • Fivetran
  • Stitch
  • Databricks
  • Snowflake
  • BigQuery
  • AWS Glue
  • Azure Data Factory
  • Prefect
  • Great Expectations
  • dlt
  • PostgreSQL
OUR DIFFERENCE

More than an agency,
a product partner.

Product Approach

Applications that solve real problems, with a long-term vision.

Data & AI Expertise

Leveraging your data to automate, predict and optimize.

Quality & Performance

Clean code, robust architecture, built-in security.

Continuous Innovation

Generative AI, cloud, automation, user-centered UX.

Build the data infrastructure of tomorrow

From raw source to real-time dashboard — we design the architecture suited to your growth.

Start the project