shiva yada

At Arcesium, I design and maintain scalable Security Master data pipelines across multiple asset classes using Bloomberg market data. I've delivered 40+ production enhancements that improve data quality, pricing accuracy, and reference-data integrity.

I process large-scale financial datasets covering coupon schedules, paydown rates, CPI-linked instruments, and security reference data. I also build automated validation and exception reporting for OTC and listed instruments while partnering with global clients, architects, and engineering teams to resolve production issues.

Previously at Razorpay, I built analytics data models for finance, billing, inventory, and merchant settlement using dbt and SQL. I orchestrated ELT pipelines with Apache Airflow, AWS S3, and Amazon Redshift, increasing data availability from 85% to 99% and reducing manual reporting effort by 60%.

I enjoy turning complex financial and transactional data into dependable, high-performance data products through Python, SQL, data modeling, workflow automation, and practical data quality controls.