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Data Engineer with 4+ years in SQL Development & Business Intelligence
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Analyst / Data Engineer with 4.5+ years of experience in SQL development, data analysis, reporting, dashboard design, and business intelligence solutions. Proven expertise in building scalable data pipelines, designing interactive dashboards using Power BI and Tableau, and translating complex datasets into actionable business insights. Experienced in stakeholder management, requirements gathering, KPI definition, data quality validation, and delivering strategic recommendations that drive operational efficiency and business growth.
KCES Institute of Management and Research, Jalgaon
Master of Computer Application (MCA) · Computer Application
January 1, 2020 – January 1, 2022
KCES Institute of Management and Research, Jalgaon
Bachelor of Computer Application (BCA) · Computer Application
January 1, 2017 – January 1, 2020
Tata Consultancy Services (TCS)
Data Analyst
January 1, 2022 – Present
Mumbai, Maharashtra, India
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services suggests exposure to a large corporate environment, indicating adaptability to structured processes and team collaboration. The role as a Data Analyst with responsibilities spanning data pipeline development and reporting aligns well with the foundational aspects of a Data Engineer role, suggesting a good fit for roles requiring both analytical depth and practical implementation. However, the lack of diverse project experience outside of a single company and role limits the assessment of broader cultural adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, stakeholder management, and strategic planning skills as evidenced by their ability to translate business needs into analytical solutions and present findings to senior stakeholders. Their experience in data quality validation and root cause analysis indicates a meticulous approach to data integrity. The resume highlights collaboration and communication in gathering requirements and delivering insights.