Anjil Niraula

I am a Data Engineer with a strong background in financial technology, focusing on risk monitoring systems and real-time data processing. My experience includes building automated monitoring solutions for financial markets and implementing robust data validation processes using Python and SQL. I thrive on challenges and have a proven track record of delivering high-quality, reliable systems that enhance decision-making in fast-paced environments.

At 108 Capital, I developed comprehensive financial market monitoring systems, including token and stock monitors, with automated risk assessment and alert mechanisms. My work involved creating real-time classification systems using Kafka and machine learning models, which helped detect high-risk scenarios effectively. Additionally, I designed monitoring dashboards that provided real-time visibility into trading bot performance and risk metrics, ensuring that stakeholders could make informed decisions quickly.

Previously, as an Associate Data QA Engineer at CloudTech Services, I honed my skills in SQL-based data validation and quality assurance for ETL pipelines. I conducted systematic API testing and manual QA for real-time analytics services, ensuring system reliability and data accuracy. My commitment to quality and attention to detail have been instrumental in identifying and resolving data quality issues before production deployment.