Vyusoft, Inc.

• Design, develop, and maintain scalable data pipelines and ETL (Extract, Transform, Load) processes. • Collect, clean, and transform raw data from multiple sources into usable formats for analytics and reporting. • Create and manage data integration workflows using tools such as Apache Spark, Python, SQL, or similar technologies. • Develop and optimize data models and database structures to ensure efficient data storage and retrieval. • Implement data validation and quality assurance procedures to ensure data accuracy and consistency. • Monitor and improve data performance, scalability, and reliability within cloud environments such as AWS, Azure, or GCP.

• Design, develop, and execute test cases and test plans based on project requirements. • Perform manual testing and support basic automation testing for web and application systems. • Identify, document, and track defects using bug tracking tools. • Collaborate with developers to understand features and resolve issues effectively. • Conduct regression, functional, and integration testing to ensure system stability. • Participate in requirement reviews and provide feedback to improve product quality. • Maintain test documentation and ensure compliance with quality standards and processes.

• Analyze business requirements and translate them into functional and technical system specifications. • Monitor and maintain IT systems to ensure optimal performance and minimal downtime. • Troubleshoot system issues, identify root causes, and provide effective solutions. • Collaborate with developers and stakeholders to implement system enhancements and upgrades. • Develop and support applications using .NET technologies such as ASP.NET, C#, and Web APIs. • Assist in debugging, testing, and maintenance of .NET-based applications to ensure smooth functionality. • Ensure data integrity, system security, and maintain proper documentation for all processes and configurations.

• Gather, analyze, and document business requirements from stakeholders and translate them into functional specifications. • Evaluate existing business processes and recommend system improvements to enhance efficiency and productivity. • Collaborate with technical teams to design, develop, and implement system solutions. • Perform system testing, validation, and support user acceptance testing (UAT). • Monitor system performance and troubleshoot issues to ensure smooth operations. • Maintain documentation for business processes, system configurations, and user guidelines. • Coordinate with cross-functional teams to ensure timely delivery of projects and alignment with business goals.

• Collect, clean, and analyze large structured and unstructured datasets to extract meaningful insights. • Develop and implement machine learning models and predictive algorithms to solve business problems. • Perform exploratory data analysis (EDA) to identify trends, patterns, and correlations. • Design and build data pipelines and workflows for efficient data processing. • Create data visualizations, dashboards, and reports to communicate findings to stakeholders. • Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions. • Validate and optimize models to improve accuracy and performance over time.