Data Engineer with 2+ years in data engineering, ETL, and data quality
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Assessing your cultural and operational fit
Data Associate with 1.5+ years of experience in data engineering, ETL processes, SQL development, data quality management, and pipeline optimization. Skilled in transforming raw datasets into structured, reliable assets for analytics and AI initiatives. Experienced in data validation, troubleshooting, stakeholder collaboration, and delivering scalable data solutions that improve business outcomes
SRM Institute of Technology
Master of Computer Applications
August 1, 2024 – June 30, 2025
Noorul Islam College of Arts&Science
Bachelors of Computer Applications
August 1, 2024 – June 30, 2025
NIELSENIQ
Data Operations Assocaite
December 1, 2024 – Present
India
NEYVELI LIGNITE CORPORATION(NTPL)
Apprenticeship
June 1, 2023 – June 1, 2024
India
FORUPPO
PROJECT MANAGEMENT INTERN
March 1, 2023 – May 31, 2023
India
Letter of Appreciation, Recommendation
Foruppo
June 1, 2026 – Present
Critical Thinking
LinkedIn Learning
January 1, 2026 – Present
Design Thinking In the Age of AI
LinkedIn Learning
January 1, 2026 – Present
Advance Data Analytics
Tech Data Community
January 1, 2026 – Present
Global Operations Award
NielsenIQ
September 1, 2025 – Present
Cultural Fit Analysis
The candidate's experience across different organizations (NielsenIQ, Neyveli Lignite Corporation, Foruppo) and roles (Data Operations Associate, Apprenticeship, Project Management Intern) indicates adaptability and a willingness to engage in diverse work environments. The 'Global Operations Award' and 'Letter of Appreciation' suggest a positive contribution and recognition within previous roles, aligning with a collaborative and results-oriented culture. The breadth of skills listed, from technical to project management, also points to a versatile individual.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through experience in cross-functional team environments and project management internships. Their experience in data validation and root cause analysis suggests an attention to detail and problem-solving aptitude. The certifications in 'Critical Thinking' and 'Design Thinking In the Age of AI' further support their operational fit for roles requiring analytical and innovative approaches.