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Data Engineer with 4+ years in data extraction & analysis
Results-driven Data Engineer with 3.5+ years of experience in data extraction, analysis, and verification. Proven expertise in leveraging SQL queries to extract insights and drive business decisions. Skilled in manual data verification processes using Cubes (Excel) and comparing data with source systems to identify discrepancies. Proficient in utilizing Power BI to fetch and compare data, enabling data-driven recommendations. Strong track record of resolving client- raised tickets, identifying data issues, and collaborating with source teams to resolve data mismatches. Demonstrated ability to quickly grasp technical concepts and adapt to new technologies. Known for strong work ethic, eagerness to learn, and commitment to delivering high-quality results. Experienced in monitoring data loads and jobs, identifying trends, and performing environmental comparisons to ensure data integrity. Expertise in validating data across Cubes and Power BI reports, ensuring accuracy and consistency.
Andhra Loyola Institute of Engineering and Technology
B. Tech · Information Technology
January 1, 2016 – December 31, 2016
IBM
DATA ENGINEER
May 1, 2022 – Present
India
Azure Data Fundamentals Certification (Azure DP-900)
Microsoft
June 1, 2026 – Present
IBM training in Microsoft Fabric
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at IBM, a large enterprise, suggests an ability to work within structured environments. Their certifications and training indicate a proactive approach to skill development. The role alignment with Data Engineer is strong, but the breadth of experience is primarily focused on data testing and validation rather than end-to-end data pipeline development or architectural design. The project diversity is limited to a single role at IBM.
Soft Skills & Operational Fit
The candidate demonstrates a strong work ethic, eagerness to learn, and commitment to delivering high-quality results. They have experience collaborating with cross-functional teams and business stakeholders to resolve data issues and communicate updates, indicating good team collaboration and communication skills. The ability to quickly grasp technical concepts and adapt to new technologies suggests a proactive and adaptable operational fit.