Software Engineer Salt Lake

Afsha Begum

Salt Lake City, UT 801-***-**** *************@*****.*** Afsha Begum's LinkedIn

EDUCATION

University of Utah Salt Lake City, UT

Masters in Information Systems Aug 2023 - Aug 2024 Osmania University Hyderabad, India

Bachelor of Engineering in Computer Science Aug 2015 - Jul 2019 SKILLS

Programming Languages: Java, Python, JavaScript, SQL, PHP. Frameworks:Spring Boot, Hibernate.

Databases: MYSQL, MongoDB(NoSQL), PostgreSQL, SQLite. WebTechnologies: HTML, CSS, REST, JSON, XML.

Testing Frameworks: JUnit, TestNG, Mockito, Selenium, Cucumber. Cloud Infrastructure: AWS, Docker, Kubernetes, GCP, Azure. Message Brokers: RabbitMQ, Apache Kafka.

Networksand Servers: Sockets, TCP/IP, UDP.

Tools: Jenkins, GitLab CI/CD, GIT Version Control, BitBucket, IntelliJ, Eclipse, Maven, Jira. Others: Data Structure& Algorithms, Microservice Architecture, Data Engineering, Data Visualization, Airflow, Pandas, NumPy, Apache Spark, Data Warehouse Implementation, Linux, PowerShell, CI/CD, Debugging, Troubleshooting, Object-Oriented Design, Agile Mindset, Scrum. Soft Skills: Problem-solving, Team Collaboration, Communication, Adaptability, Attention to Detail, Time Management, Continuous Learning.

WORK EXPERIENCE

Infosys Limited Hyderabad, India

Senior Software Engineer Nov 2021 - Mar 2023

Developed and optimized RESTful APIs using Spring Boot, leveraging Spring MVC for efficient handling of HTTP requests and business logic implementation.

Expertly integrated Spring Data JPA for database operations, which resulted in a remarkable 60% improvement in data processing speed and reliability.

Utilized Spring Batch for processing large data volumes, handling both transactions and job processing, while using Spring AOP to manage cross-cutting concerns like logging and transaction details. I secured the APIs by implementing OAuth2 token-based authentication and authorization. Utilized GitHub Actions and Jenkins to streamline deployment processes, resulting in a 30% decrease in time-to- market for new features and enhancements.

Infosys Limited Hyderabad, India

Software Engineer Jun 2020 - Oct 2021

Developed and optimized a system of microservices utilizing Spring Boot, Docker containers, and Kubernetes, resulting in a 42% increase in code efficiency and reducing deployment time by 33%. Engineered a high-performance Java algorithm to parse customer data by reading from RabbitMQ message queues, reducing database processing time by 40%.

Executed clean and scalable Java code for data migration from a DB2 database to SQL database, resulting in a 54% decrease in post-migration bugs and errors.

Focused on Test Driven Development there by creating detailed JUnit tests for every single piece of functionality.

Infosys Limited Hyderabad, India

Software Engineer Intern Dec 2019 - May 2020

Mastered Python, SQL, Data Structures, Angular, and DevOps through intensive training programs, achieving advanced proficiency levels in each area.

Lahari Technologies Hyderabad, India

Software Engineer Intern Jun 2019 - Nov 2019

Optimized web interfaces with HTML5, Bootstrap CSS, and jQuery, resulting in a 35% improvement in cross- browser compatibility and a 16% increase in user engagement. Executed comprehensive database optimization techniques, leading to a 60% reduction in data retrieval latency and a 32% improvement in system reliability.

PROJECT EXPERIENCE

AirBnB Database Aug 2023 - Dec 2023

Implemented Airbnb database system, including user profiles, property listings, and booking management, added a new business venture where Host provides vehicle and Travel Concierge to Guest. Designed the conceptual, logical model and physical model, utilized PostgreSQL for data storage Doctor Appointment Scheduler Aug 2023 - Dec 2023

Engineered a user-friendly Appointment Scheduler Application in Python, incorporating robust Error Handling and Object-Oriented Programming principles. Utilized SQLite for data storage and implemented CRUD operations for seamless interaction with the database, resulting in efficient data parsing and persistence. Utah Air Quality and Weather Analysis Jan 2024 - Apr 2024 Implemented a comprehensive data engineering project utilizing Airflow, Python, and APIs to build an ETL pipeline for collecting and analyzing air quality and weather data from five locations in Utah, resulting in the creation of real-time dashboards using Power BI illustrating trends for public health concerns. Data Visualization using Power BI Jan 2024 - Apr 2024 Adopted Power BI to analyze road safety data, creating visualizations that identified key traffic patterns and highlighted high-risk areas, leading to data-driven recommendations for improving road safety. DVD Rental Data Warehouse - Support for Reporting and Analysis Jan 2024 - Apr 2024 Implemented a comprehensive data warehouse solution using Azure's ecosystem. The project involved utilizing Azure Blob Storage, Azure Data Lake Gen2 for staging and processing, and Azure Synapse Analytics for data integration and reporting. By building efficient ETL pipelines, we successfully transformed raw data into actionable insights, visualized through Power BI dashboards. Course Registration System Aug 2023 - Dec 2023

Developed a course registration system using JavaScript, Bootstrap, and React for the front-end, along with Node.js for the back-end. The interface was built with React, leveraging JavaScript for interactivity and Bootstrap for a responsive and modern design. On the back-end, Node.js efficiently handled server-side operations and database integration, managing course data and processing user requests. This setup allowed students to browse, register, and view course enrollments in real-time with a smooth and user-friendly experience.

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