SHUBHAM KUMAR

Project: Web Application for Data Analysis

• Developed the backend of a data-driven web application using Python, focusing on performance and scalability.
• Utilized Pandas and NumPy for efficient data manipulation, transformation, and analysis of large datasets.
• Designed RESTful APIs to handle data retrieval, processing, and dynamic content delivery.
• Ensured seamless integration between the backend and frontend through well-structured JSON responses.
• Implemented robust error handling and logging to improve system reliability and maintainability.
• Collaborated with front-end developers to deliver a responsive, user-friendly interface.

Project: Data Archival to HCP Cloud.

• Designed and developed a robust archival pipeline for migrating critical data to HCP Cloud.
• Implemented scalable ETL workflows using PySpark and Python, optimizing data processing efficiency.
• Integrated PostgreSQL for efficient metadata storage and indexing.
• Achieved significant performance enhancements and cost reductions in data processing and storage.

• Working as a Python backend developer on creating a customer-friendly kiosk system for seamless order placement. I ensure smooth order processing, and real-time updates to provide an efficient and reliable experience for customers.
• Working as a data engineer with expertise in Python, utilizing AWS services including Glue, Athena, Redshift, and S3 for scalable data processing and analytics. Successfully delivered data solutions for BP, including:
• Optimized data queries and storage with Athena and Redshift.
• Managed and maintained S3 buckets for efficient data storage and retrieval.
• Collaborated with cross-functional teams to ensure data accuracy and integrity.

• As an accomplished Python Backend Developer with expertise in AWS, I played a crucial role in creating a web application that efficiently acquires orders from different partner aggregators.
• Leveraging AWS services, I designed a scalable and reliable backend infrastructure that ensures seamless communication and data exchange between our platform and the partner aggregator systems. By utilizing AWS's cloud computing capabilities, I optimized the application's performance and enhanced its resilience to handle varying levels of traffic and data processing.