2019-2021

Data Engineer at Dell Technologies.ltd

• Developed and optimized ETL pipelines using Python, SQL, and AWS Glue to process and integrate inventory data from multiple sources, reducing data preparation time by 30% and ensuring seamless integration with cloud-based analytics. • Utilized Postman for API testing and NUnit for backend automated testing, improving system stability and reducing defect resolution times from 3 days to 1 day for 30+ issues. • Designed interactive dashboards in Lookr to visualize key performance indicators (KPIs) and streamline decision-making processes. • Conducted statistical modeling and hypothesis testing in R to derive actionable insights and support data-driven strategies. • Enhanced data quality and accuracy by implementing robust data cleaning and wrangling processes with Pandas and NumPy.

02/2024-Present

Data Engineer at BCBS

• Created insightful Tableau dashboards with Pie Charts, Bar Charts, and Scatter Plots, presenting clear and comprehensive data visualizations to support healthcare decision-making. • Utilized BigQuery to query and analyze large datasets, optimizing query performance and ensuring efficient data retrieval for reporting needs. • Conducted data transformation and optimization in SQL Server, enhancing query performance and improving the accuracy of 10+ generated reports, supporting critical decision-making. • Leveraged Azure Databricks and PySpark to analyze and process large healthcare datasets, deriving actionable insights to optimize claims workflows and reduce processing time. • Created and maintained complex T-SQL stored procedures, functions, and triggers to streamline databases.