Technologies

A tool is not a credential by itself. We show what we built with each part of the stack and where it went into production.

Evidence matrix

Four concrete contexts show how Aule uses technology to solve architecture, ingestion, orchestration and analytics.

Nestlé

Enterprise case

A modular PySpark framework with medallion architecture, Delta Lake and incremental ingestion of critical data.

  • Databricks
  • PySpark
  • Delta Lake
  • Auto Loader

BASF

Analytics case

Sales analytics structured on a Delta Lakehouse architecture.

  • Delta Lake
  • Databricks

Amaggi

Orchestration case

Migration of data orchestration from Apache NiFi to Apache Airflow.

  • Apache NiFi
  • Apache Airflow

Eclusa

Aule product · v2.0

A parameter-driven governed ingestion platform installed in the customer's Databricks workspace.

  • Databricks
  • Unity Catalog
  • Python

Technical coverage

The stack is organised by the role it plays in the platform and the team's work.

Lakehouse and engineering

Medallion architecture, distributed processing, transactional tables and catalog governance.

DatabricksPySparkDelta LakeUnity Catalog

Ingestion and orchestration

Incremental loads, operational dependencies and migration of legacy flows.

Apache AirflowApache NiFiAuto Loader

Analytics and BI

Modelling and analytics products that turn governed data into business decisions.

Power BILookerMetabaseTableau

AI, governance and culture

Production models, quality, privacy and autonomy for the teams that use data.

PredictiveGenAIMLOpsPrivacyData qualityData literacy

Real certifications

Certifications complement project evidence. They do not replace what was delivered.

Microsoft Certified: Azure Data Engineer Associate · DP-203

Microsoft Certified: Azure Fundamentals · AZ-900

Microsoft Certified: Azure Data Fundamentals · DP-900

Databricks Certified Data Engineer Associate

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