Cases

Data projects delivered for some of the largest companies in Brazil, from agribusiness to the chemical industry.

Applied stack

What Aule runs day to day, from cloud to dashboard. Tooling is a means: it enters a project when it solves the problem, not because it is fashionable.

Cloud

  • Microsoft Azure
  • AWS
  • Google Cloud

Lakehouse and processing

  • Databricks
  • Apache Spark
  • Delta Lake
  • Unity Catalog

Orchestration and ingestion

  • Apache Airflow
  • Apache NiFi
  • Azure Data Factory
  • Apache Kafka

Databases and storage

  • PostgreSQL
  • SQL Server
  • Oracle
  • MySQL
  • MongoDB

Language and platform

  • SAP
  • Python
  • Docker
  • Terraform
  • Git

Analytics and BI

  • Power BI
  • Looker
  • Metabase

Our team's experience on projects for

Consumer goodsNestlé

Modular PySpark framework and streaming in production

A reusable framework (bronze, silver and gold) on Azure Data Lake Gen2 plus Delta Lake, streaming with Databricks Auto Loader, automated data quality and CI/CD for notebooks and jobs.

0%

critical data available faster

0%

reduction in Spark job runtime

0%

less development effort

0%

faster incident detection

ChemicalsBASF

Sales analytics platform on a Delta Lakehouse

Scalable pipelines unifying structured and unstructured data with PySpark, Azure Data Factory, Databricks and Synapse. The base for machine learning models and executive sales dashboards.

0%

of sales data unified in the lakehouse

0 fronts

ML and BI served by the same base

AgribusinessAmaggi

Ingestion modernisation: NiFi to Airflow on an Azure lakehouse

Migration of legacy Apache NiFi flows to Airflow DAGs and re-engineering of the ingestion of agricultural sources (Climatempo, Pessl, AgroSig) into a modern lakehouse on Azure.

0+

agricultural sources integrated

0 platform

unified orchestration on Airflow

Also in our portfolio: data projects for Ambev, Aegea, Vibra Energia, Serasa Experian, Sicredi, Dufrio, TAP.