Northeastern University, Boston

MA, USA

Master of Science in Data Analytics Engineering, GPA: 3.82/4.0
Focused Coursework: Data Analytics, Data Management, Data Mining, Computation & Visualization

Vellore Institute of Technology, Vellore

TN, India

Bachelor of Technology in Electronics and Comm. Engineering, CGPA: 8.60/10.0
Focused Coursework: Object-Oriented Programming, Data Structure and Algorithms, Probability & Statistics

DXC Technology

Bangalore, India

Professional 1 Software Engineer

Development of Data Quality Tool:
• Designed, coded, and built a software tool for Data Quality checks on incoming data through the creation of data pipelines and ETL processes with the help of a team - The tool was able to successfully clean and analyze data from over 10,000 records in just 15 minutes, improving the accuracy of the data by 95%.
• Identified and removed over 500 duplicate records using the tool, reducing the data size by 10%.
• Developed and designed ADF pipelines to automate trigger for Azure Databricks notebook, which incorporated data warehousing techniques and big data technologies like Hadoop and Spark - The ADF pipelines successfully processed over 100 GB of big data in just 30 minutes, reducing the manual processing time by over 70%.
• Eliminated human errors by automating the pipeline, resulting in a 100% accuracy rate in processing the data.
• Conducted sessions with clients to understand business requirements and used data modeling and data visualization techniques to provide business intelligence using Google Charts & Microsoft Power BI.
• Maintained a CI/CD platform for the tool using GitHub and deployed it to the Azure cloud computing platform, ensuring scalability and performance optimization.

Development of Snowflake Data Extraction Scheduler:
• Implemented a secure and interactive user interface on Microsoft Power Apps. The interface enabled users to trigger the extraction of data from databases such as MS SQL Server, and dynamically build Azure Logic Apps.
• Developed an Azure function in Python to extract data from multiple databases and exported it to the user-defined cloud platform like AWS S3 and Azure.
• Ensured data security and privacy by integrating the tool with Azure Active Directory, providing role-based access control and data governance capabilities, resulting in a 40% decrease in data breaches.
• Followed Agile Methodology to meet client requirements and improve the tool's performance and scalability, resulting in a 25% increase in tool performance and a 30% reduction in development time.