Masterdata Administrator with 5+ years in SAP MDG, Data Governance & ERP Integration
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Results-driven Master Data Specialist with hands-on expertise in SAP MDG, ECC, and S/4HANA. Proven ability to ensure high-quality, compliant, and well-governed master data across global organizations. Skilled in data governance, data cleansing, and ERP integration, with strong experience in improving data quality and operational efficiency. Adept at collaborating with cross-functional teams, streamlining workflows, and supporting regulatory compliance initiatives. Passionate about leveraging data strategy and emerging technologies to drive business value.
Sri Shakthi Institute of Engineering and Technology
Bachelor of Engineering · Mechanical Engineering
August 1, 2016 – June 30, 2020
Sanofi - Opella Healthcare Private Limited
Master Data Operator Customer
December 1, 2025 – May 1, 2026
Hyderābād, Telangana, India
Avantor (VWR Lab Products Pvt. Ltd)
Senior Associate – Master Data Management
February 1, 2022 – November 1, 2025
Coimbatore, Tamil Nadu, India
BYJU'S (Toppr Technologies Pvt. Ltd)
Academic Consultant
August 1, 2021 – January 1, 2022
Coimbatore, Tamil Nadu, India
Propel Industries Pvt. Ltd
Production Engineer – Vendor Development
August 1, 2020 – August 1, 2021
Coimbatore, Tamil Nadu, India
Cultural Fit Analysis
The candidate's experience across different companies (Sanofi, Avantor, BYJU'S, Propel Industries) and roles, including a shift from Mechanical Engineering to Master Data Management, indicates adaptability and a willingness to learn. Their interest in Generative AI and advanced data analytics suggests a proactive approach to continuous learning, which aligns well with a culture of innovation and professional development. The roles involve significant collaboration and stakeholder management, pointing to a team-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational and leadership skills through training new hires and acting as an SME. Their experience in cross-functional collaboration, problem-solving complex data discrepancies, and process improvement initiatives indicates a good operational fit. The ability to monitor KPIs and maintain quality logs suggests a data-driven and detail-oriented approach.