Keval Patel Email & Phone Number

• Streamlined patient care coordination by developing SQL-based ETL processes to integrate MatrixCare with pharmacy systems, ensuring accurate medication data exchange and optimizing SQL Server performance.• Enhanced medication management by customizing MatrixCare workflows and optimizing SQL queries, reducing prescription processing time by 25% and improving inventory management.• Developed advanced ETL processes using SSIS and custom scripts to integrate financial data with MatrixCare, improving cost management by 20% and enhancing vendor relationship management.• Created SQL-based automated reporting tools within MatrixCare, facilitating real-time communication and reducing patient treatment delays, while strengthening vendor negotiation leverage.

• Managing sourcing of merchandise for retail sale through various consumer channels. • Maintaining records of inventory, returns, and sales with optimization of costs and tools in order to increase margins and time efficiency. • Gaining knowledge of market trends for goods and services by gauging sales statistics and consumer feedback enabling management of demand-specific goods.• Building relationships with businesses and consumers, creating a constant stream of demand while maximizing space efficiency in storage.

• Developed secure user authentication and RESTful API endpoints using ASP.NET Core and Spring Boot,implementing CRUD operations with Entity Framework Core and Spring Data JPA.• Created responsive, dynamic front-end interfaces with Angular, HTML, CSS, and JavaScript, integrating seamlesslywith back-end API endpoints.• Managed SQL database interactions with Entity Framework Core and Spring Data JPA, ensuring data integrity andefficiency.• Deployed and managed web applications using Azure App Services and Azure SQL Databases, focusing on highavailability and scalability.• Implemented automated testing with xUnit, JUnit, and Mockito to enhance code reliability and maintainability.

• Achieved accelerated data processing by developing an ETL pipeline with SQL Server Integration Services (SSIS) and Python, cleansing and validating datasets with over 1 million data points.• Implemented logging and unit testing in Python scripts to enhance error detection, ensuring reliable data processing and analysis.• Utilized SQL tuning techniques and tools like SQL Profiler to construct and optimize relational database queries, and extracted and processed CSV data to create dynamic queries and interactive geo-maps in HTML using JavaScript libraries like Leaflet, resulting in actionable insights.• Optimized data retrieval and processing by scheduling ETL scripts with cron jobs, improving overall efficiency.• Developed a cluster-computing framework with Apache Hadoop and Spark to maximize efficiency in large-scaledata processing tasks.

• Communicated to consumers on best use and troubleshooting of technologies and services. • Gained an understanding of the latest technologies, and worked with team members to meet customer needs.

Data Engineering Certification

• 450+ hours of hands-on course material, with 1:1 industry expert mentor oversight, and completion of 2 in-depth capstone projects. •.

Bachelor'S Degree, Computer Science