Owned the technical direction and architecture for event ingestion, processing, and storage across Kafka-based systems.

Partnered with product and engineering teams to define event contracts and ensure reliable, scalable data flows.

Built and maintained data tooling and pipelines leveraging Kafka and Snowflake to support analytics and business reporting.

Drove improvements in reliability, observability, and developer workflows across the data platform

Implemented event-driven pipelines using Kafka to ingest and process high-volume application data.

Deployed and operated services on Kubernetes, contributing to platform reliability and scalability.

Improved CI/CD workflows using Jenkins to streamline deployments and reduce operational friction.

Collaborated cross-functionally to evolve the data architecture as product requirements scaled.

Implemented streaming and batch data processing workflows using Kafka and Spark.

Contributed to distributed systems handling large-scale data processing and analytics workloads.

Worked closely with stakeholders to translate data requirements into scalable technical solutions.