Case study
Data platform engineering · GCP
Impact
High-throughput ingestion, zero data loss
Built and operated real-time data pipelines on GCP using Pub/Sub and Dataflow, enabling high-throughput stream ingestion and processing integrated with Cloud SQL and backend services.
Streaming data at volume across distributed systems, where a pipeline failure means lost data or broken downstream services — so reliability and observability had to be built in from the start.
Pipeline engineering, GCP data services, distributed systems
Keeping high-throughput ingestion and processing reliable across distributed systems while integrating cleanly with Cloud SQL and multiple backend services.
Built and maintained Pub/Sub topics and Dataflow jobs for real-time stream processing.
Integrated pipelines with Cloud SQL and backend services to ensure consistent data flow.
Implemented monitoring and alerting with GCP Operations Suite to catch and resolve issues fast.
Reliable real-time data processing pipeline handling high-volume streams with integrated monitoring and fast incident resolution.
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