Ajay Charan

Engineer experienced in building scalable, production-grade data and ML pipelines with PySpark, AWS Glue, Databricks, and Azure Data Factory, specialising in ETL automation, data quality, and compliance. Skilled at delivering AI-integrated systems by combining dimensional data modeling, asynchronous APIs, and multi-agent LLM workflows—achieving real-time decision intelligence and reducing manual processes by up to 95%.

Built scalable ETL pipelines with Azure Data Factory, Databricks, PySpark, and Delta Lake for compliance reporting and analytics. I engineered AWS Glue pipelines handling 500K+ daily records, automated insurance logic, and developed Power BI dashboards for credit and risk teams.

Pursuing a Master of Applied Computing at the University of Windsor, where I gained hands-on experience with emerging technologies and completed projects in machine learning and artificial intelligence, applying advanced models and practical problem-solving to real-world scenarios.