Python Engineer with 2+ years in API Integration & Database Management
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Backend Developer with 2 years of experience in server-side development and API integration. Skilled in building scalable RESTful APIs, optimizing SQL queries, and ensuring backend performance and security. Proficient in backend frameworks, databases and Object-oriented programing system.
Anjalai Ammal Mahalingam Engineering College
Bachelor's degree · Civil Engineering
August 1, 2015 – June 30, 2019
Bixware Technology
Backend Developer
February 1, 2024 – Present
Coimbatore, Tamil Nadu, India
Aditya Birla Group
December 1, 2024 – January 1, 2025
Built a daily purchase upload interface with frontend integration and database storage. Captured users' exact locations and stored geographic coordinates for distance analysis. Integrated Google Maps API to calculate real-time distance and duration between user location and plant/state. Developed the complete solution using Python for both backend and frontend functionality.
IKEA Regional Store Audit and Performance Tracking System
December 1, 2024 – January 1, 2025
Developed a Django-based questionnaire audit system to track IKEA store visits across multiple regions. Captured and stored user-submitted audit responses, enabling reviewer workflows for approval and feedback. Calculated audit scores and store performance metrics using Python logic within Django views and models. Managed and queried audit data using MSSQL, ensuring efficient data reporting and consistency. Generated performance charts and analytics on the backend to visualize audit results and visit trends.
Multi-Platform FitGuide web Integration
December 1, 2024 – January 1, 2025
Enhanced FitGuide functionality to support vehicle compatibility check and checkout with image storage in Azure Blob Storage and automated email generation. Enabled dynamic user theme customization and configuration directly within the FitGuide website interface. Reused and integrated the speaker fitment script across multiple internal and external platforms, including BigCommerce, Magento, and Shopify. Built an onboarding system for internal users to map categories and dynamically generate and distribute script snippets tailored to each platform. Delivered a fully dynamic, customizable script with theme and placement flexibility, supporting multiple e-commerce platforms and client-specific needs.
Speaker FitGuide Integration for BigCommerce
June 1, 2024 – November 1, 2024
Developed a dynamic vehicle speaker fitment guide integrated into BigCommerce storefronts, enabling users to select Make, Model, Year, and Options to view compatible products. Created a customizable JavaScript script (script.js) to capture vehicle input and fetch corresponding fitment data in real-time. Built a Next.js-based BigCommerce app that provides admin-level controls to enable or disable the fitment guide widget on the storefront. Integrated with BigCommerce APIs to dynamically inject or remove the fitment script from storefront pages based on admin settings. Implemented access control mechanisms to manage widget visibility and user permissions effectively. Handled category mapping and fitment logic to ensure accurate product display based on vehicle configurations.
Cultural Fit Analysis
The candidate has worked on diverse projects across different domains (e-commerce, internal audit systems, logistics), indicating adaptability and a willingness to tackle varied challenges. The use of multiple technologies (Python, Django, Next.js, JavaScript, Laravel) suggests a broad technical interest. The professional experience is limited to one company, Bixware Technology, which might indicate a preference for stability or limited exposure to different organizational cultures. The projects are all professional, showing a commitment to real-world application development.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on end-to-end solutions, from backend logic to frontend integration, and manage project requirements. The focus on customizable and dynamic solutions suggests problem-solving and adaptability. However, without specific behavioral assessment data, a deeper analysis of soft skills and operational fit is limited.