Real-Time Data Pipeline for Impact Assessment in International Aid

As a burgeoning startup in the International Aid sector, our mission is to ensure that aid reaches the right beneficiaries efficiently and effectively. We are looking to develop a real-time data pipeline that aggregates data from various global sources, processes it in real-time, and provides actionable insights into the effectiveness of aid distribution. This project will involve setting up a robust data infrastructure using technologies such as Apache Kafka for event streaming, Spark for real-time data processing, and Snowflake for scalable data warehousing. The project will also integrate Airflow for orchestration and dbt for data transformation. Our aim is to enable stakeholders, including NGOs and government agencies, to make data-driven decisions, optimize resource allocation, and improve the impact measurement of their initiatives. The system must support real-time analytics to facilitate prompt responses to emerging needs and challenges. This project is critical to our growth strategy, helping us build trust and demonstrate unparalleled transparency and accountability in the aid sector.