Kowsiya Madhiyalagan

Design, develop, and maintain complex SQL database solutions, including writing queries, stored procedures, views, triggers, and functions.
Optimize database performance by analyzing query execution plans, indexing strategies, and database tuning.
Ensure data integrity, security, and compliance with best practices and industry standards.
Collaborate with software engineers and other stakeholders to integrate database solutions with applications.
Troubleshoot and resolve database‑ related issues, identifying root causes and implementing effective solutions.
Collaborate with project managers to define project scope, deliverables, timelines, and resource allocation.
Prioritize tasks, assign responsibilities, and monitor progress to ensure timely and successful project delivery.
Communicate project status, risks, and issues to relevant stakeholders, including proposing mitigation strategies.
Participate in requirement gathering, design discussions, and technical architecture planning.

• Promoted from Senior Software Enginner to Module Lead, showcasing expertise, and leadership capabilities.
• Led the architecture and implementation of data ingestion in Azure Data Factory
• Perform data cleansing, ensure data integrity and consistency, and conduct feature
engineering.
• Conducted rigorous unit testing, validation of transformations, and non-functional testing for data ingestion loads.
• Successfully executed a data migration project, loading data into Oracle Fusion HCM.
• Actively collaborated with product owners and data analysts to translate business requirements into deliverable modules.
• Involved in application design activities, sprint planning, project scoping, effort estimation, and project scheduling.
• Proficiently handled defects and provided technical support for timely issue resolution.

Cognizant Technology Solutions, Chennai, India Oct 2010 - July 2014
• Started as a Fresher Programmer Analyst Trainee and progressed to Programmer Analyst .
• Demonstrated strong application support and development skills, ensuring smooth daily file-loading processes.
• Utilized SQL for data exploration and aggregation, gaining proficiency in end-to-end system data processing.
• Gained expertise in data warehousing and worked with Informatica ETL tool to efficiently transport large volumes of data