Summary
Rahul Anand is a Senior Data Engineer with 11 years of software engineering experience and over three years focused on enterprise full-stack development, solution architecture, and data engineering. He combines practical expertise in ETL, cloud deployments, and data warehousing with hands-on work in Django, RESTful APIs, automation, and MongoDB, delivering production systems across healthcare, finance, and public sector clients. His recent roles include building scalable data platforms at Sanofi and Nasdaq and designing ETL pipelines and analytics solutions for municipal and startup environments. A Dalhousie MS in Computer Science and a history of open-source Python and Java contributions inform a research-minded approach to engineering problems. Notably, he has implemented asynchronous task frameworks, geofencing with GeoDjango, and IoT data ingestion pipelines—skills that bridge infrastructure, analytics, and application layers. Based in Toronto, he’s driven by improving data quality and operational efficiency while continuously exploring novel integrations and automation.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Dalhousie University
Non-Medical, Senior Secondary, Non-Medical, Senior Secondary at Lancer's Convent
Guru Gobind Singh Indraprastha University