Sri Devi Email & Phone Number

Texas, United States

• Experience with Power Automate, Power Bi, Canvas Apps, Model driven and Portals. Familiar with Power Platform administration, and Azure cloud services.
• Automated ETL processes using Python and Azure Data factory, reducing manual intervention by 60% and increasing data pipeline reliability.
• Utilized pandas for efficient data manipulation, including data cleaning, transformation, and analysis, ensuring high quality datasets.
• Leveraged SQL, Python, and ETL tools to extract, transform, and load data, and created interactive visualizations using power BI and Tableau to provide meaningful Interpretation of Complex datasets.
• Developed PowerShell scripts to automate database backups, reducing manual effort by 70% and minimizing the risk of data loss.
• Performed data analysis with pandas and NumPy, identifying key market trends that shaped the medical products and Devices roadmap and directed strategic planning.

• Developed Spark applications for data extraction, transformation and aggregation from multiple systems and stored in Azure data lake storage using Azure Databricks notebooks.
• Created Pipelines in ADF to copy parquet files from ADLS Gen2 location to Azure synapse analytics Data warehouse.
• Demonstrated ability to elevate solution quality and foster confidence in insights through adept unit testing practices. Verified data source connections and integration processes.
• Deployed trained TensorFlow models using Docker and Kubernetes ensuring seamless integration with existing systems and scaling as needed.
• Worked with Data architects and IT architects to understand the movement of data and its storage.
• Coordinated with QA team to test and validate the reporting system and its data.

• Developed data processing pipelines using pandas and NumPy to efficiently analyze large volumes of claims data, improving data accuracy and processing speed.
• Implemented comprehensive development practices to build robust, scalable insurance applications using Python and Java, and ensuring seamless performance across various platforms.
• Designed and deployed RESTful APIs using Flask and Django for real time data integration with third party systems, enhancing the company’s policy management and claims processing capabilities.
• Optimized SQL Queries for data retrieval and report generation, reducing query execution time by 30% and enabling fast Decision making for underwriters.
• Automated the extraction of policy holder information from multiple Sources through web scraping techniques, significantly reducing manual data entry and improving data accuracy.
• Managed Version control and collaboration on insurance software projects using Git, ensuring all team members had access to the latest code base and reducing deployment issues.

• Designed and Developed Components using Python with Django Framework.
• Extensively involved in designing the SSIS packages to export data from flat file source to SQL Server database.
• Pulling data daily from OLTP database to OLAP or staging database using the SSIS packages Rendering the reports to PDF formats as per the requirement and printing all the reports in a batch process for Monthly.
• Experience in working on cube structure optimization for MBX query performance in Analysis Services 2008/2005 (SSAS).
• Diagnosed and resolved database related issues promptly, including performance bottlenecks, data corruption, and connectivity problems.
• Ability to plan and execute database migration, upgrades and version migrations with minimal disruption to operations.