Maitri Patel

As a Data Engineer at CVS Health, I build and optimize scalable data pipelines using AWS and GCP, improving ETL processes across multiple data sources. I collaborate with cross-functional teams to define data requirements, automate data processing with Python and AWS Glue, and implement CI/CD pipelines, enhancing data workflow efficiency and compliance with data security regulations.

During my internship at Medifast, I supported the Master Data Management system by reviewing match/merge records and ensuring compliance with data governance and privacy programs. I engaged with data privacy systems to uphold established regulations.

As a Junior Research Scientist, I leveraged machine learning models and Python for data cleaning and transformation, achieving significant reductions in data load time for Tableau dashboards. I also developed an AI-powered blockchain fabric for enhanced data annotation accuracy.

In my role as a Data Analyst at Nexova, I collaborated with data engineers to streamline ETL processes, developed complex SQL queries, and created real-time dashboards using Tableau and Power BI. My efforts improved data quality and reporting speed, while ensuring data was structured for efficient downstream analysis.

Completed a Master's in Software Engineering, focusing on advanced software development methodologies, data structures, and algorithms. Gained practical experience through projects involving machine learning and data analysis.

Earned a Bachelor of Technology in Computer Engineering, covering core subjects such as programming, data structures, and computer networks. Engaged in various projects that enhanced practical skills in software development.