Avaiz Khan

Background

About Avaiz Khan

Hello! I am Avaiz Khan, a passionate Data Engineer with over 3 years of experience specializing in data engineering, feature store development, and ETL pipeline optimization. My expertise lies in leveraging cloud infrastructure, particularly AWS, to deliver scalable and efficient data solutions. I thrive on transforming complex data into actionable insights and have a strong background in MLOps implementation and automation. Currently, I work at Principal Global Services, where I focus on building feature stores and scalable data pipelines. I have successfully developed a disaster recovery playbook to enhance AWS outage readiness and have implemented Snowflake-based pipelines that significantly improve model output accessibility. My technical skills include Python, SQL, Apache Spark, and AWS, among others, which I utilize to optimize data processing and drive impactful results. Key Achievements- Accelerated the deployment of over 15 ML models by developing and maintaining data pipelines using AWS Glue and Snowflake- Drove targeted campaigns using predictive models, resulting in a 633% growth in eligible non-participating users and a 527% increase in account values, totaling $511.3M- Improved participant engagement from 44% in 2023 to 64% in 2024 and enhanced IRA capture rate by 32%.