Basith P

I've built real-time data platforms for e-commerce telemetry, fintech invoicing, cold-chain monitoring, and data observability. My work uses Kafka, Redpanda, Apache Spark, PostgreSQL, Python, SQL, and Next.js to turn high-volume operational data into reliable systems.

For Pulse Stream Analytics, I created a high-concurrency streaming architecture and a low-latency monitoring dashboard that improved pipeline visibility by 20%. On Sentinel Flow Engine, I integrated SQL patch execution into ETL workflows, reducing pipeline downtime by 25% through self-healing scripts.

During internships at Regional Technologies, Zyro Soft, and Tefora Solutions, I've cleaned high-volume datasets, built responsive web applications, optimized SQL retrieval, and deployed predictive machine-learning models. I improved parsing efficiency by 15%, reduced initial page-load time by 20%, and reduced model monitoring overhead by 15%.

I'm a Computer Science and Engineering graduate focused on practical data infrastructure, automation, and analytics systems that perform reliably at scale.