Abhinav Mandadi

As a Sr. Data Engineer, I boosted team productivity by 25% through mentoring interns and improved data governance by implementing Microsoft Purview DLP policies, securing sensitive data assets. I optimized pipeline runtime from 4 hours to 10 minutes, enhancing operational efficiency.

In this role, I designed and maintained Azure resources, reducing downtime by 20% and achieving significant cost savings. I utilized Microsoft Fabric for data management, improving insights accuracy and team productivity.

I improved project completion rates using Azure DevOps and facilitated faster data migration through CI/CD pipelines, enhancing operational insights with Power BI dashboards.

I upgraded data visualization with Power BI and SharePoint, enhancing decision-making effectiveness. I implemented automated pipelines for seamless data integration, improving report generation efficiency.

I automated data processes, achieving 40% cost savings and enhancing user experience through a centralized database. I utilized dbt to improve data transformation accuracy and reduce execution times.

I accelerated data migration efficiency with Azure Data Factory and enhanced data processing through customized scripts, significantly improving team productivity.

As an intern, I enhanced ECM efficiency and refined Java and Selenium code, resulting in improved data retrieval speed. I also mentored interns, fostering a positive learning environment.

Completed a Master of Professional Studies in Data Science, focusing on advanced data analytics, machine learning, and data management techniques to derive insights from complex datasets.

Earned a Bachelor of Technology in Computer Science, covering core subjects such as programming, data structures, algorithms, and software engineering principles.