Krishna Reddy

Dedicated and proficient .NET Full Stack Web Developer with over 4+ years of experience in designing, developing, and maintaining web applications using .NET Framework and MS SQL Server. Adept at working in agile environments, implementing responsive and user-friendly interfaces, and ensuring high performance and security. Possesses strong skills in C#, JavaScript, jQuery, Bootstrap, Python, React, and Azure Data Factory (ADF).

Experienced in designing and managing ADF pipelines for data integration, ETL/ELT processes, and automated data movement across multiple data sources. Skilled in monitoring pipeline execution, handling data transformations, and optimizing data workflows to support business reporting and analytics. Committed to continuously learning new technologies to enhance application performance and user experience.

Quick to adapt to new software, tools, and technologies.

Full Stack Developer and Data Engineer at AVSAR (2024-11 – 2026-04)

• Developed a scalable restaurant management system using.NET Core, React.js, and SQL Server
• Optimized database queries in SQL Server, improving application performance and response time
• Ensured application reliability with proper error handling and logging mechanisms
• Worked on Microsoft Azure Data Factory pipelines for data ingestion, transformation, and loading from multiple sources such as Blob Storage, SQL Server, and Salesforce
• Implemented ADF activities including Copy Activity, ForEach, Lookup, Get Metadata, Execute Pipeline, and Stored Procedure for automated ETL workflows and file processing
• Monitored and troubleshot pipeline failures using triggers, parameterization, dynamic content, and integration runtimes to ensure successful end-to-end data movement
• Designed for order management, billing, and inventory tracking
• Built a responsive and user-friendly frontend using React, improving order processing efficiency
• Implemented real-time order flow between front desk and kitchen to reduce manual errors
• Developed inventory management module to track stock levels and minimize wastage

Full Stack Developer at Medico Health Care Services (2019-06 – 2022-09)

• Developed and maintained Web applications using.NET MVC framework, C#, JavaScript, jQuery, Bootstrap, HTML, CSS, SQL, React, ensuring responsive and user-friendly interfaces
• Experience with Amazon S3 for secure file storage, backup management, and scalable data access in cloud-based applications
• Utilized C# extensively for server-side logic, creating efficient, reusable, and reliable code to power dynamic web applications
• Developed and Maintained Web Applications: Utilized C#.NET to build and maintain web applications, including designing and implementing new features based on customer requirements
• Database Management: Managed Microsoft SQL Server databases, including writing and optimizing complex queries and stored procedures. Ensured efficient data retrieval and storage by optimizing database performance
• Front-End Development: Created responsive user interfaces using jQuery, CSS, and JavaScript. Improved user experience by integrating modern design principles and client-side functionality
• Performance Tuning: Conducted unit tests and performance tuning to identify and resolve bottlenecks. Implemented robust error handling and debugging techniques to maintain high application reliability
• Utilized MS SQL Server to design, develop, and manage databases for various projects, including writing complex SQL queries, T-SQL, stored procedures, CTEs, views, indexes, joins, and triggers
• Led the integration of third-party APIs, to enhance the security and reliability of online transactions within web applications
• Employed Visual Studio 2022 and Visual Studio Code for development, debugging, and version control, ensuring high-quality and maintainable code
• Maintained detailed records of project progress and milestones
• Demonstrated experience in writing clean, maintainable, verifiable, and tested code, setting high-quality standards for intra- team collaborative working and problem-solving. Strong written and verbal communication skills
• Implemented comprehensive error handling and logging strategies to monitor application health and troubleshoot issues effectively• Developed a web-based module to manage claim submissions, approvals, rejections, and status tracking. Integrated validation rules to reduce manual errors.
• Built an automated system to calculate renewal premiums based on age, medical history, and claim history. Included an email/SMS reminder system.
• Implemented a dashboard for agents to manage customers, view active policies, monitor commissions, and track performance metrics and rule-based and machine learning–assisted module to detect potentially fraudulent claims using anomaly detection and historical data.
• Fund-raising Application using MS-SQL Databases and.Net Framework: Developed a funds Raising Full stack Application
• Detection of Parkinson’s Disease Using Smart Wearables: Designed a machine learning model to detect Parkinson's disease using wearable data.
• Traffic Sign Detection: Built a model for detecting and classifying traffic signs using Python and TensorFlow.
• Stock Price Predictions: Developed predictive models for stock prices using historical data and Python.
• Price Predictions Using Past Data: Created machine learning models to forecast product prices based on historical data.

Masters in Computer Science – University of East London (2022-05 – 2024-03)