At BARQ Systems, I contributed to a multi-layer AI incident-resolution platform. I designed a permissioned tool registry for its LLM agent and implemented an asynchronous, authenticated webhook ingestion layer that persists and queues events before responding.
At Raya Trade, I redesigned a logistics pipeline as an incremental hash-based MERGE for 470,000+ rows and benchmarked SQL Server bulk-load strategies. I also built and shipped an error monitoring and logging system with real-time tracking and role-based dashboard access.
In my projects, I developed an AWS AIS pipeline using Kafka and Spark Structured Streaming to process vessel positions and serve live state through PostgreSQL and Grafana. I also built batch and analytics pipelines on AWS and GCP, modeling data with dbt and delivering Power BI reports; my certifications include Google Cloud Professional Data Engineer and Azure Databricks Data Engineer Associate.
