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Data Engineer with less than a year in Azure Databricks, PySpark, and Data Pipelines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Engineer with hands-on internship experience at Bizmetric, Pune, building end-to-end data pipelines using Azure Databricks, PySpark, and Medallion Architecture (Bronze, Silver, Gold layers). Strong academic foundation in Industrial Mathematics provides an edge in analytical thinking, data modeling, and scalable solution design. Certified by IBM and Databricks Academy. Eager to contribute to a data-driven organization.
Dr. D.Y. Patil ACS College, Pimpri, Pune
M.Sc. · Industrial Mathematics with Computer Applications
August 1, 2024 – June 30, 2026
Dr. D.Y. Patil ACS College, Pimpri, Pune
B.Sc. · Mathematics
August 1, 2021 – August 1, 2024
Bizmetric
Data Engineer Intern
January 1, 2026 – April 1, 2026
Pune, Maharashtra, India
End-to-End Data Processing
June 1, 2026 – Present
Implemented data processing workflows using Medallion Architecture (Bronze, Silver, Gold layers) Ingested and transformed raw data using PySpark with data governance via Unity Catalog Managed and stored data in Azure Data Lake Storage (ADLS) for scalable processing
Sales Performance Analysis Dashboard
June 1, 2026 – Present
Developed an interactive Power BI dashboard analyzing global sales data Implemented time and country filters with bar, pie, and map visualizations Analyzed sales performance across regions, product lines, and sales representative
Data Analysis with Python
IBM Cognitive Class
January 1, 2026 – Present
SQL Analytics on Databricks
Databricks Academy
January 1, 2026 – Present
Introduction to Python for Data Science & Data Engineering
Databricks Academy
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects and internship demonstrate a clear focus on data engineering, aligning well with the target role. The diversity of tools and technologies used (Azure ecosystem, PySpark, Power BI, SQL) indicates a willingness to learn and adapt. The academic background in mathematics suggests a strong foundation for problem-solving and analytical tasks, which are valuable in data-driven cultures. The certifications further show initiative and a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate lists 'Analytical Thinking', 'Problem Solving', 'Communication', 'Attention to Detail', and 'Team Collaboration' as soft skills. These are crucial for a Data Engineer role, especially in collaborative environments. The project descriptions and internship experience suggest an ability to work within structured methodologies (Agile, Waterfall) and contribute to end-to-end data solutions, indicating a good operational fit.