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Data Engineer with less than a year in Python, SQL, and PySpark for ETL processes 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 skilled in Python, SQL, and PySpark with knowledge of ETL processes and data pipelines. Passionate about working with big data and transforming data into valuable insights. Fresher seeking an entry-level opportunity to apply technical skills in a real-world environment. Quick learner with strong analytical thinking and a willingness to continuously learn and grow in the field of data engineering
Savitribai Phule Pune University
Graduate
N/A – Present
Cloud-based Data Pipeline for Academic Learning
June 23, 2026 – Present
Developed a cloud-based data pipeline using Azure services to perform data ingestion, transformation, and storage for analytical purposes as part of academic learning. Created ETL pipelines using Azure Data Factory (ADF) to ingest data from different sources. Performed basic data transformation and cleansing using Azure Databricks with PySpark. Stored and managed data in Azure Data Lake Storage (ADLS Gen2) and Azure Blob Storage. Monitored pipeline execution and handled basic troubleshooting of pipeline failures. Applied transformation logic based on given datasets and use-case scenarios. Wrote SQL queries for data validation and analysis. Used Git for version control and maintaining project code. Followed Agile concepts during project development (task tracking, iterative work).
Cultural Fit Analysis
The candidate's profile indicates a willingness to learn and grow, which is positive for cultural fit. The academic project demonstrates an ability to work on structured tasks and apply learned concepts. However, with only one academic project and no professional experience, the diversity of work and collaboration experience is limited, making a comprehensive cultural fit assessment challenging.
Soft Skills & Operational Fit
The candidate describes themselves as a quick learner, strong analytical thinker, and team player with good problem-solving abilities. They also mention following Agile concepts in their project, indicating an understanding of iterative work and task tracking. However, these are self-reported and not validated by assessments or professional experience.