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Data Engineer with 1+ years in SQL, Python, Power BI, & Azure ETL development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Analyst with 1 year of hands-on experience in SQL, Python, Power BI, and Azure-based ETL development. Strong expertise in building systematized data pipelines, optimizing SQL queries, and delivering actionable insights through dashboards. Seeking a full-time role to contribute to data-driven decision-making and business growth.
Amity University
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
IOWEB3 Technologies
Data Analyst
January 1, 2025 – Present
Pune, Maharashtra, India
End-to-End Data Pipeline using Azure Data Factory
June 24, 2026 – Present
Built a cloud-based ETL pipeline to extract data from on-prem SQL Server, transform it, and load it into Azure. Applied automated validation checks to ensure data accuracy and reliability.
Sales Data Analysis using Power BI
June 24, 2026 – Present
Analyzed sales datasets to identify trends in revenue, profit margins, and business performance. Designed interactive Power BI dashboards to support data-driven business decisions.
Python for Data Science and Machine Learning
Udemy
June 1, 2026 – Present
Microsoft Power BI: Beginner to Pro
Udemy
June 1, 2026 – Present
Master LangChain & Gen AI
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and experience show a clear alignment with data engineering and analysis tasks. The personal projects demonstrate initiative and a proactive approach to skill development. The certifications indicate a willingness to learn and adapt to new technologies. However, without information on team collaboration or diverse project environments, a comprehensive cultural fit assessment is limited.
Soft Skills & Operational Fit
The candidate's resume indicates a focus on structured data ingestion, data quality, and performance optimization, which aligns well with operational aspects of a Data Engineer role. The project descriptions suggest an ability to work independently on defined tasks. However, there is insufficient data to assess soft skills like teamwork, problem-solving under pressure, or communication in a collaborative setting.