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Database Engineer with 1+ years in Data Operations & Quality Management
AI is analyzing your overall score…
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Database professional with 1.7 years of experience in banking data operations, reporting, data validation, reconciliation, and data quality management. Skilled in SQL, Microsoft Excel, Power BI, stakeholder coordination, and issue resolution across large asset datasets. Certified in Microsoft PL-300 Power BI Data Analyst Associate and Google Data Analytics Professional Certificate.
Chandigarh University
B.Tech · Computer Science
August 1, 2020 – June 30, 2024
Kendriya Vidyalaya No.2
Higher Secondary Education
June 1, 2018 – May 31, 2020
RT Network Solutions
DBA Engineer
July 1, 2024 – Present
India
Indian Weather Analytics System
June 1, 2026 – Present
• Built an automated data pipeline using Python API extraction, VBScript, batch files, and Task Scheduler running at 10-minute intervals. • Stored data in SQLite and performed transformation and modeling in Power BI using star schema design, DAX measures, and calculated columns. • Developed dashboards analyzing temperature trends, AQI, and wind patterns to identify environmental insights and relationships.
View ProjectRetail Sales Data Analysis (Kaggle)
June 1, 2026 – Present
• Extracted datasets using Kaggle API and performed preprocessing using Jupyter Notebook. • Conducted SQL analysis using CTEs and window functions in Microsoft SQL Server. • Analyzed top revenue products, regional sales performance, and year-over-year growth trends. • Generated business insights to support sales evaluation and product-level performance comparison.
View ProjectPL-300: Power BI Data Analyst Associate
Microsoft
June 1, 2026 – Present
Google Data Analytics Professional Certificate
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience with personal projects and a professional role involving stakeholder coordination suggests an ability to work collaboratively and take initiative. The diversity of projects (weather analytics, retail sales) and the current role in banking data operations indicate adaptability and a broad interest in data applications. The certifications also show a proactive approach to skill development, which aligns with a culture of continuous learning.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in automating recurring tasks, coordinating with stakeholders, and improving data accuracy and turnaround time. Their project descriptions and professional experience highlight a methodical approach to data management and problem-solving. The ability to work with large datasets and resolve discrepancies indicates attention to detail and a commitment to data integrity.