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
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.
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.
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.