ETL solution for an automotive data platform
Discover how an international business automation company enhanced the performance and scalability of its automotive data analytics platform by migrating from a local database to secure cloud environment. This ETL project streamlined data operations and laid the foundation for long-term growth.
Task: a strategic move to the Cloud
At the outset of the project, all data in our client’s analytics platform — used for collecting and processing information from the automotive domain — was stored in an on-premise MariaDB database.
While the system remained functional, it lacked the flexibility required for efficient scaling, involved costly maintenance, and no longer met the demands of modern data operations.
Project objectives: resilience, cost-efficiency, and scalability
From a business standpoint, the key goals included:
- improving data storage reliability,
- reducing infrastructure maintenance costs,
- and ensuring consistently stable service performance.
On the technical side, the objective was to migrate the data to a cloud-native environment, streamline the data schema, and reduce data duplication so that the platform could support future growth with minimal overhead.
Implementation challenges
Two main challenges shaped the implementation approach:
- All development had to be done using anonymized data samples — real data was unavailable due to security restrictions.
- The platform needed to handle variations in car brand naming across different countries, which added complexity to data normalization during migration.
Solution: a secure, scalable ETL pipeline
To address these requirements, we developed a robust ETL pipeline that enables secure and reliable cloud migration. The pipeline is orchestrated using Apache Airflow, with execution modules deployed as Docker containers within an Azure Kubernetes cluster. The architecture supports both full and incremental migration modes, ensuring seamless data handling during transfers.
Outcomes: a future-ready data platform
The result is a cloud-based, modernized platform that delivers:
- Transparent and accessible data operations
- Seamless and secure data migration
- Enhanced data storage reliability and system resilience
- Lower infrastructure maintenance costs
- Readiness for future scalability
- Improved performance through cloud architecture
Technology stack
- Azure Cloud
- Azure SQL
- Azure Blob Storage
- Azure Kubernetes
- Azure DevOps Pipelines
- Apache Airflow
- MariaDB
- .NET
