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Senior Data Governance and Data Quality Consultant with 6.7 years of experience across Data Manageme
Experienced Data Governance and Data Quality Consultant with over 6 years of experience across Ernst & Young (EY), Amazon, Wipro and Cognizant. Skilled in designing and implementing data governance frameworks, conducting data profiling and lineage analysis, and maintaining data quality standards across diverse platforms including Snowflake, Oracle, DB2, and MS SQL Server. Proficient in Collibra Data Quality and Collibra Data Catalog for rule creation, metadata management, and PII classification. Experienced in performing ETL transformations, data validation, and quality monitoring to ensure data accuracy, completeness, and consistency. Adept at using Power BI to visualize key data quality metrics and provide actionable insights for business decision-making. Strong collaborator with data stewards, governance teams, and stakeholders to establish trusted and well-governed enterprise data ecosystems.
Osmania University
Bachelor of Engineering (BE) · Electronics and Communication Engineering (ECE)
August 1, 2016 – Present
Ernst & Young (EY)
Consultant - Data Governance
December 1, 2024 – Present
Hyderābād, Telangana, India
Amazon Development Centre
Data Quality Specialist
February 1, 2021 – June 1, 2024
Hyderābād, Telangana, India
Wipro Limited
Analyst - Data Quality
October 1, 2019 – November 1, 2020
Hyderābād, Telangana, India
Cognizant Technology Solutions
Data Process Executive
May 1, 2018 – August 1, 2019
Hyderābād, Telangana, India
Azure AI 900
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has worked across multiple reputable organizations (EY, Amazon, Wipro, Cognizant) and diverse projects, indicating adaptability and a broad understanding of different corporate environments. Their focus on data governance, quality, and reporting aligns well with roles requiring meticulous attention to detail and adherence to standards. The experience in identifying and resolving issues, coupled with suggesting improvements, points to a proactive and improvement-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in ticket-based workflows, managing SLAs, and contributing to process improvements. Their collaboration with data stewards, reporting teams, and QA associates indicates good teamwork and communication skills. The ability to analyze trends and provide actionable recommendations suggests analytical thinking and problem-solving capabilities.