Soumik Mitra

Data Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Proficient in SQL and data engineering tools.
Developed a high-performance hotel booking system.
Committed to continuous learning in data engineering.

Stackforce AI infers this person is a Data Engineer with a focus on cloud-based solutions and performance optimization.

Contact

soumik.mitra@ibm.com LinkedIn

Skills

Core Skills

Data EngineeringSqlFrontend DevelopmentDatabase Management

Other Skills

AIOpsAnsibleApache KafkaArtificial Intelligence (AI)Azure Cosmos DBAzure Data FactoryAzure Data LakeAzure DatabricksAzure SQLBig DataC (Programming Language)Cascading Style Sheets (CSS)CloudCommunicationCore Java

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Ibm

Data Engineer

Oct 2023 – Present · 2 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

Azure DatabricksMicrosoft Power BIAzure SQLAIOpsMicrosoft Azure Machine LearningBig Data+5

Mazesoft solution

Frontend Developer

Nov 2021 – Mar 2022 · 4 mos · Kolkata, West Bengal, India

Internship Project: Hotel Booking System for Night Angle Travels
During my internship at Mazesoft Solution, I developed a robust hotel booking system for Night Angle Travels, leveraging a modern tech stack to ensure high performance and cost efficiency.
Tech Stack:
Frontend: React
Backend: Node.js
Routing: Express.js
Database: PostgreSQL
Project Workflow:
User Booking: Users initiate hotel booking requests via the React-based front-end interface.
Admin Approval: Booking requests are routed to the admin panel for approval through Express.js.
Vendor Confirmation: Approved requests are forwarded to the vendor panel for final confirmation.
Booking Confirmation: Upon vendor confirmation, the booking is successfully placed in the system.
Technical Enhancements:
Web Workers in Backend: Implemented web workers in the Node.js backend to handle concurrent tasks efficiently, significantly improving the system’s performance and responsiveness.
Partial Hydration in Frontend: Utilized partial hydration in React to optimize the initial load time and enhance the overall user experience by rendering only the necessary components initially.
PostgreSQL Subqueries: Employed advanced SQL techniques, including subqueries, to efficiently manage and retrieve booking data, demonstrating my expertise in database management.
Cost Optimization: These optimizations led to a substantial reduction in AWS costs by improving resource utilization and minimizing server load.
This project provided me with valuable experience in full-stack development, focusing on performance optimization and cost-efficiency in web applications.