Data Engineer with less than a year in data cleaning & transformation
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Recent graduate seeking an entry-level Data Analyst or Data Engineer role. Strong foundation in SQL (joins, subqueries, CTEs, aggregations) and Python (Pandas, NumPy) for data cleaning, transformation, and validation of structured datasets. Hands-on exposure through academic projects and internship training in data analysis, ETL-style workflows, and dashboard creation using Power BI. Familiar with AWS services such as S3, EC2, and IAM, with introductory knowledge of machine learning concepts and Generative AI tools for SQL query generation and insight summarization. Possess strong analytical thinking, problem-solving, and communication skills.
Sri Sairam Engineering College
B.Tech · Information Technology
August 1, 2021 – June 30, 2025
Mount Zion Matriculation Higher Secondary School
SSLC
June 1, 2021 – May 31, 2021
Mount Zion Matriculation Higher Secondary School
HSC
June 1, 2019 – May 31, 2019
Oneyes Infotech Solution
Data Engineer Intern
August 1, 2023 – February 1, 2024
Chennai, Tamil Nadu, India
Teachnook
Data Analyst Intern
October 1, 2022 – November 1, 2022
India
IoT Transaction Data Pipeline for Automated Retail Billing
June 1, 2026 – Present
Designed a data processing workflow using Python, SQL, and AWS S3 to ingest and organize RFID-based retail billing data. Converted raw event-based data into structured transaction and billing datasets suitable for analysis and reporting. Performed data cleaning, transformation, and validation to maintain accuracy and consistency across billing records. Structured and modeled transactional data to support reporting, dashboard creation, and analytical use cases. Analyzed system performance metrics such as billing duration, item frequency, and transaction volume to assess system behavior. Prepared analysis-ready datasets to evaluate system efficiency and customer shopping patterns.
Python Basic or Data Science
IBM
June 1, 2026 – Present
Hands on Experience in Python Programming
SKILLRACK
June 1, 2026 – Present
Database Management System
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic project and two internships (Data Engineer Intern, Data Analyst Intern) demonstrate a proactive approach to gaining practical experience. The project diversity, ranging from IoT data pipelines to general data analysis, shows a breadth of interest within the data domain. The target role of Data Engineer aligns well with their recent internship and project experience, indicating a focused career path. The listed certifications further support a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical thinking, problem-solving, and communication skills. Their project and internship descriptions indicate a collaborative approach and an ability to understand data requirements, which are positive indicators for operational fit. The academic project on IoT data pipeline shows initiative in designing and implementing a data workflow.