Mid-Market SaaS Company

Real-Time Data Analytics Platform

Business teams needed faster insights from high-volume event data, but existing batch pipelines introduced hours of reporting delay.

Kafka
Spark
Snowflake
Airflow
AWS

Challenge

Business teams needed faster insights from high-volume event data, but existing batch pipelines introduced hours of reporting delay.

Solution

We designed a streaming data platform using Kafka and Spark for real-time processing, with Snowflake as the analytics warehouse and custom dashboards for business stakeholders.

Results

    Reduced reporting delay from hours to minutes
    Improved analytics pipeline reliability and observability
    Enabled self-serve reporting for non-technical teams

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