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Data Engineer with less than a year in Data Pipelines & Analytics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech CSE graduate with hands-on experience building data pipelines using Snowflake, dbt, and AWS S3. Comfortable working with SQL and Python, with my area of interest in Data Engineering & Data Analytics, where I can contribute from day one and keep growing fast.
Ahmedabad University
B.Tech · Computer Science & Engineering
August 1, 2022 – June 30, 2026
Boys High School
Higher Secondary (12th) · GSEB
N/A – May 31, 2022
K.K. Mori High School
Secondary (10th) · GSEB
N/A – May 31, 2020
Event Management Platform
January 1, 2026 – March 31, 2026
Developed a full-stack event management platform that unified event planning, registration, payments, communication, and task management into a single system. Implemented secure role-based access control (RBAC) for Admin, Department Leader, Volunteer, and Attendee roles using JWT authentication. Eliminated double-booking issues by combining BullMQ, Redis queues, and MongoDB transactions to ensure atomic seat reservations under concurrent user load. Built a ticketing and payment workflow with Razorpay integration, secure payment verification, temporary seat locking, and QR-code e-ticket generation. Enabled real-time collaboration through Socket.IO-powered chat rooms and live Kanban board updates.
Airbnb End-to-End Data Engineering Pipeline
November 1, 2025 – December 31, 2025
Worked with raw Airbnb data spread across 3 tables — Bookings, Listings, and Hosts — with no structure for analytics. Designed and built a full pipeline that transforms raw data into clean, analytics-ready models. Built a medallion architecture (Bronze → Silver → Gold) on Snowflake using dbt, with incremental models and SCD Type 2 snapshots to track historical changes. Delivered a One Big Table (OBT) and fact tables that improved query performance and made reporting straightforward.
Data Analytics Certification
Skillsetmaster
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a blend of data engineering and full-stack development, indicating versatility and a willingness to explore different technical domains. The 'Airbnb End-to-End Data Engineering Pipeline' aligns directly with a Data Engineer role, showcasing a strong interest and foundational understanding in the field. The 'Event Management Platform' project, while not directly data engineering, highlights strong software development skills, which can be beneficial for building robust data applications. The academic background in Computer Science & Engineering further supports a strong technical foundation. The candidate's self-description as a 'Data Enthusiast' and the focus on data-related projects suggest a genuine interest in the target role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to tackle complex problems and deliver functional solutions. The 'Event Management Platform' project shows initiative in full-stack development and real-time collaboration features, suggesting a proactive and team-oriented approach. The 'Airbnb Data Engineering Pipeline' demonstrates a structured approach to data challenges. However, without direct work experience or psychometric test results, it's difficult to fully assess operational fit, stress handling, or direct team collaboration skills.