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Data Quality Engineer with 1+ years in Data Quality, BI, and Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented Data Analyst and Data Quality Engineer with 1.5+ years of experience turning raw operational data into measurable business outcomes. Delivered 40% faster reporting, 20% fewer defects, zero audit non-conformities, and ~22% drop in supplier defects all through data-driven analysis and automation. Proficient in SQL, Power BI, Advanced Excel (VLOOKUP, Pivot Tables, Power Query), Python, and SAP. Experienced across the full data lifecycle: extraction, validation, cleansing, analysis, and visualization.
MMIT, Lohegaon, Pune
B.E · Mechanical Engineering
August 1, 2021 – June 30, 2024
AISSMS, Pune
Diploma · Mechanical Engineering
August 1, 2018 – June 30, 2021
Sdtork Controls Pvt Ltd
Data Analyst / QA Engineer
August 1, 2024 – May 31, 2026
Pune, Maharashtra, India
SQL Data Quality Analysis - Operational Dataset Profiling
June 24, 2026 – Present
Wrote SQL (Joins, Subqueries, Window Functions) to extract, profile, and validate datasets; detected anomalies and produced structured quality reports.
Power BI & Excel KPI Dashboard - Export Inspection Tracking System
June 24, 2026 – Present
Built end-to-end dashboard in Excel + Power BI tracking inspection status, rejection %, rework trends, and ITP/QAP compliance across all export orders. Utilized VLOOKUP, INDEX-MATCH, Power Query, Pivot Tables, DAX to cut documentation time ~40%, resulting in near-zero missing-doc NCs in client audits. Trained 6 QA engineers. Created and Developed a Sales Mobile Data Dashboard using Microsoft Power BI to analyze mobile sales performance and transform raw business data into interactive insights that help in better decision making.
Cultural Fit Analysis
The candidate's project diversity, ranging from operational dataset profiling to KPI dashboards, indicates adaptability and a broad interest in data-related challenges. Their professional experience as a Data Analyst/QA Engineer aligns well with the target role, suggesting a good understanding of data quality principles in a business context. The breadth of skills across SQL, Excel, Power BI, and some Python, combined with a focus on process improvement, suggests a proactive and results-oriented individual who could integrate well into a data-focused team.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, problem-solving, and attention to detail, which are critical for a Data Quality Engineer. Their experience in cross-functional collaboration and process improvement mindset suggests a good operational fit for roles requiring continuous data quality enhancement. The ability to train others (as mentioned in projects) indicates good communication and leadership potential.