Rajashree Pal
Aspiring Data Engineer with hands-on experience building scalable backend applications, designing relational databases, processing structured datasets, and developing REST APIs. Strong foundation in SQL, Python, Java, data modeling, ETL concepts, cloud databases, and data analysis.
Experienced in transforming raw data into meaningful insights while ensuring high data quality and performance. Passionate about building reliable data pipelines and working with modern cloud data platforms.
Experience
Flutter Developer Intern
Slaaang Media Pvt. Ltd.
Designed and optimized responsive Flutter UIs, improving app performance and usability across Android devices. Integrated Firebase Authentication, Firestore, and Cloud Functions for secure and scalable backend workflows. Enhanced user experience and navigation flow, reducing app load times by 20%.
Backend Developer Intern
Main Flow Services & Technologies Pvt. Ltd.
Built secure, scalable backend services using ASP. NET Core Web API for transaction processing. Developed RESTful APIs for seamless inter-module communication. Improved performance and scalability using Entity Framework Core and SQL Server.
Education
Amity University, Noida
B.Tech.
CGPA: 7.8/10
Auxilium Girls’ School
Higher Secondary Education
CBSE | 83%
Auxilium Girls’ School
Secondary Education
CBSE | 86%
Skills
PythonSQLJavaPostgreServerMyETL PipelinesData CleaningData TransformationData ValidationData ModelingData IntegrationApache SparkHadoopKafkaAzureAzure App ServiceASP.NET CoreREST APIsSpring Data JPAEntity Framework CoreGitDockerPostmanMaven
Projects
Fake Currency Detection System
Built a complete data processing pipeline for image datasets. Cleaned and transformed thousands of currency images before model training. Stored metadata and prediction results inside SQL Server. Connected ML model with backend APIs for real-time inference. Designed database schema for efficient storage and retrieval. Achieved 95%+ prediction accuracy using CNN architecture.
Employee Management System
Designed relational database schema for employee records. Implemented CRUD APIs handling structured organizational data. Optimized SQL queries for faster record retrieval. Applied normalization techniques for reducing redundancy. Built scalable backend architecture supporting large datasets.
Certifications
Java Backend Development
Geeks For Geeks
AWS Cloud Computing
AWS
The Joy of Computing using Python
IIT Ropar, NPTEL
SQL Fundaments
Udemy