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Data Engineer with less than a year in Big Data, PySpark & Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with hands-on experience in Big Data technologies including Apache Spark (PySpark), Hadoop, SQL, and Power BI. Skilled in data cleaning, transformation, ETL workflows, and exploratory data analysis to generate actionable business insights. Strong foundation in Java, OOP, and Data Structures with practical exposure to Agile development environments. Passionate about building scalable data pipelines and delivering data-driven solutions.
Sreenidhi Institute of Science and Technology
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Harvest Junior College
Intermediate
June 1, 2019 – May 31, 2021
Harvest Public School
Secondary School
June 1, 2019 – May 31, 2019
Infosys
INTERNSHIP
December 1, 2025 – Present
India
Exploratory Data Analysis & Data Pipeline Development
December 1, 2025 – June 1, 2026
Designed data cleaning workflows to improve data quality and analysis readiness. Developed PySpark DataFrame transformations and SQL queries for processing datasets. Performed exploratory data analysis to derive trends and insights. Created interactive Power BI dashboards for visualization and reporting. Executed end-to-end pipeline from raw data to analytics dashboards.
Basics of Data Analysis Expression (DAX)
Unknown
June 1, 2026 – Present
Big Data 101
Infosys
June 1, 2026 – Present
Database Management System (HSQL)
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project and internship experience demonstrate a focus on data engineering principles and tools, aligning well with the target role. The certifications in Big Data and Database Management further indicate a commitment to the field. The project diversity is limited to one academic project and one internship, both focused on similar areas. The breadth of skills is good for an entry-level candidate, covering programming, big data, databases, and visualization. However, the overall experience level is very low, which might impact cultural fit in a senior role requiring extensive independent problem-solving and leadership.
Soft Skills & Operational Fit
The candidate highlights analytical thinking, problem-solving, team collaboration, adaptability, and being a quick learner. These soft skills are crucial for a Data Engineer role, especially in dynamic environments. The experience with Agile methodology suggests an operational fit for sprint-based development teams.