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Data Engineer with 2+ years in data engineering & ETL processes
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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, 2021 – June 30, 2025
NIELSENIQ
Data Operations Assocaite
December 1, 2024 – Present
India
NEYVELI LIGNITE CORPORATION(NTPL)
Apprenticeship
June 1, 2023 – May 31, 2024
India
FORUPPO
PROJECT MANAGEMENT INTERN
March 1, 2022 – May 31, 2022
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(Sep-2025)
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 learn diverse operational contexts. Their involvement in data quality and ETL processes aligns well with the structured and detail-oriented nature often found in data engineering teams. The certifications also suggest a commitment to continuous learning and professional development, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through experience in cross-functional team engagement and project management internships. Their work in data validation and quality assurance indicates an attention to detail and commitment to data integrity, which are crucial for operational fit in a data engineering role. The certifications in 'Critical Thinking' and 'Design Thinking in the Age of AI' suggest a proactive approach to problem-solving and adapting to new technologies.