Real-Time Data Platform
A scalable streaming data platform processing high-volume event data with Databricks, PySpark, and Azure Event Hubs.
The Problem
A growing data platform needed to process high volumes of real-time events reliably while keeping the data structured, queryable, and ready for downstream analytics and business workflows.
The Solution
We designed a scalable streaming architecture using Azure Event Hubs and Databricks. PySpark pipelines processed incoming events through a Medallion-style architecture, with optimized Spark DataFrame transformations and reliable Delta-based storage for downstream consumption.
Results
Technology Stack
Let’s build the right solution.
Whether you’re modernizing an existing platform, building a new product, or scaling your data and cloud infrastructure, our engineers can help turn complex requirements into reliable technology.