Aritra Chakraborty

Developed and maintained new features for a Django-based ETL platform, resulting in a 15% increase in data processing efficiency. Managed and resolved an average of 20 JIRA issues per week, ensuring timely resolution and task assignment to team members. Ensured optimal uptime of the production environment by promptly addressing and resolving issues, resulting in a 99.9% uptime rate. Collaborated with cross-functional teams to conduct thorough testing, achieving a 20% decrease in post-deployment issues and bugs. Coordinated with clients to understand their requirements, effectively solving issues and incorporating new features into the ETL platform based on their feedback. Implemented preemptive monitoring systems for the staging environment, reducing response time to critical issues by 30%. Conducted regular performance optimization with optimizing Django ORM query and code refactoring in Django side, javascript resulting in a 25% improvement in system responsiveness and resource utilization. Received commendation from clients for exceptional solution-oriented skills and delivering high-quality solutions within agreed timelines.

Built 10 Django & Flask based web applications catering to diverse user needs and requirements. Leveraged REST API calls to seamlessly integrate and interact with 5 external systems or services. Deployed 5 applications using GitHub actions on AWS EC2, achieving a 30% reduction in deployment time. Spearheaded the development of internal applications that achieved an 80% reduction in manual workloads, saving 20 hours per week. Implemented cost optimization strategies, resulting in a 20% cost reduction and achieving a 30% improvement in resource usage efficiency.

Constructed an ESP32-based hardware system for patient health monitoring, ensuring real-time monitoring of vital signs. Created an Android app and a Django-based web dashboard for live parameters monitoring. Facilitated seamless data transmission and integration between different systems by handling JSON data streams in REST API calls. Ensured adherence to international standardization by processing health data in HL7 format. Crafted multiple recommendation features, resulting in a 20% increase in user engagement. Implemented nearby health center suggestion features based on current health conditions and current location.

Utilized ETL software IBM Cast Iron to automate quote processes between SAP CRM and Salesforce, resulting in a 30% reduction in processing time and a 50% increase in quote accuracy.