Developing a centralized ETL pipeline on AWS Lambda and PostgreSQL for efficient data management from multiple sources and to various destination systems.
Plenitude On The Road operates in the electric vehicle charging infrastructure sector, managing thousands of charging points and offering customer care services, with a strong focus on accessibility and technological innovation of solutions.
Plenitude On The Road needed to consolidate data from numerous disparate sources, each with unique connectors and APIs (e.g., Redis, HTTP, REST, S3, SQS, DynamoDB), into a central system. Subsequently, this processed information had to be distributed to other final systems, also with their own integration points, requiring a scalable and reliable ETL solution.
Integrating a wide variety of data sources with different connection protocols and data formats.
Ensuring data consistency, integrity, and timeliness across the entire ETL pipeline.
Building a scalable and maintainable system capable of handling growing data volumes and adapting to new integration requirements.
Astrorei designed and implemented a serverless ETL (Extract, Transform, Load) system leveraging AWS Lambda functions written in Node.js with TypeScript, and PostgreSQL as the central data hub. This architecture provided a scalable and cost-effective solution for ingesting data from multiple sources—each with its own connector or API (including Redis, HTTP, REST, S3, SQS, DynamoDB). The Lambda functions handle the data transformation logic and manage the flow of information to various destination systems, each also integrated via custom connectors or APIs. This centralized approach streamlined data management, improved data quality, and enabled Plenitude On The Road to have a unified view of their operations.
The new ETL system provided Plenitude On The Road with a reliable and scalable data infrastructure, enhancing their ability to manage and leverage data from their electric vehicle charging network. This led to improved operational insights and a more robust foundation for future growth and service development.
Successfully centralized data from multiple diverse sources, improving data accessibility and consistency by 85%.
Achieved significant improvements in data processing efficiency and reliability using a serverless AWS Lambda architecture.
Provided a scalable and robust foundation for future data integrations, analytics, and reporting capabilities, cutting deployment time for new integrations by 60%.
Discover how Astrorei can build scalable and efficient ETL pipelines to centralize your data, streamline operations, and unlock new insights.
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Carlo Vassallo