Ezhil Namadurai
About
Ezhil Namadurai, Esq. is a seasoned attorney known for his specialization in data privacy law, cybersecurity compliance, and IT governance. With over 15 years of experience, he has advised Fortune 500 companies on developing and implementing privacy frameworks, navigating complex regulatory landscapes, and mitigating cybersecurity risks. Ezhil holds multiple professional certifications, including Certified Information Privacy Professional (CIPP/US & CIPP/E), CPA, and PMP, which enable him to expertly guide businesses through data protection and compliance challenges.
His work includes leading multi-million-dollar data privacy and IT risk management projects, drafting and implementing comprehensive data protection policies, and providing strategic counsel on regulations like HIPAA, GDPR, and CCPA. He has conducted privacy impact assessments, created robust corporate governance frameworks, and implemented IT compliance programs that safeguard sensitive information and reduce business vulnerabilities.
Ezhil’s unique expertise also extends to corporate risk management, cloud security compliance, and cross-border data transfer regulations. He has a proven track record of delivering value through comprehensive privacy strategies and effective risk mitigation for organizations across the finance, healthcare, and technology sectors.
Career Highlights
- Successfully managed a $4M+ data privacy project, ensuring compliance with stringent regulatory standards.
- Advised on company-wide data privacy initiatives, facilitating certifications such as the EU-U.S. Privacy Shield.
- Developed and led privacy training programs for cross-functional teams in large enterprises.
- Created and enforced cloud security and data transfer protocols for international compliance.
Practice Areas
Admitted Jurisdictions
- Illinois
- Minnesota
- New York
- Texas
Education
- Mitchell Hamline School of Law, Juris Doctor
- Illinois State University, Master of Business Administration
- Illinois State University, Master of Science in Applied Computer Science
Languages
- English