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Data Engineer with less than a year in ETL Pipelines & Cloud
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entry-Level Data Engineer with hands-on training in SQL, Python, PySpark, AWS, and Hadoop. Strong foundation in data cleaning, transformation, and building ETL pipelines. Experience working with structured datasets, data analysis, and report generation. Seeking an opportunity to build scalable and efficient data solutions.
B.P.H.E. Society Ahmednagar College
Master of Computer Science · Computer Science
August 1, 2020 – June 30, 2022
B.P.H.E. Society Ahmednagar College
Bachelor of Computer Science · Computer Science
August 1, 2016 – June 30, 2019
IIT Kharagpur Student Startup
Web Developer Intern
May 1, 2023 – September 1, 2023
India
Cognizant
Graduate Trainee
March 1, 2022 – May 1, 2022
India
ETL Data Pipeline using Python & SQL
June 1, 2026 – Present
Built an end-to-end ETL pipeline to process raw sales data Extracted data from CSV files and performed cleaning using Pandas Transformed datasets to generate meaningful insights Loaded processed data into MySQL database
Cultural Fit Analysis
The candidate's project work aligns with the target role of Data Engineer, demonstrating initiative in building an ETL pipeline. The academic background is strong, and the stated interest in building scalable and efficient data solutions indicates alignment with typical data engineering objectives. However, the professional experience is not directly in data engineering, which might require a period of adjustment to a data-centric team culture. The diversity of projects is limited to one data-related project and one web development internship.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Trainee at Cognizant suggests exposure to communication, customer interaction, and problem-solving in an IT service desk environment. Collaboration in an agile development environment is also noted during the Web Developer Intern role. However, specific examples of leadership, complex problem-solving, or cross-functional collaboration in a data engineering context are limited.