Data Engineer with 1+ years in Python, SQL, and ETL/ELT pipelines.
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Assessing your cultural and operational fit
Computer Science Engineering (AI) student with a strong foundation in Python, SQL, ETL/ELT pipelines, and data analysis. Experienced in processing structured and semi-structured datasets, orchestrating data pipelines, and delivering analytical dashboards. Familiar with cloud data platform concepts including Azure, Microsoft Fabric, data warehousing, and pipeline orchestration. Seeking a Data Engineer Intern role to contribute to enterprise-grade cloud data platforms within agile environments.
Vishwakarma Institute of Information Technology
B.E. · Computer Science Engineering (Artificial Intelligence)
August 1, 2023 – June 30, 2027
Aspire Institute (Harvard-affiliated)
Aspire Leader's Program
N/A – June 30, 2024
Imexshwetej Global LLP
Technical Operations & Business Development Executive
January 1, 2026 – June 1, 2026
India
TradeMart
AI & Financial Research Intern
April 1, 2025 – November 1, 2025
India
Imexshwetej Global LLP – eCommerce Platform & Data Integration (Live)
November 1, 2025 – January 1, 2026
Engineered relational MySQL schemas supporting 500+ product SKUs, order records, and transactional data with full CRUD operations. Embedded Cashfree REST API into backend data workflows, ensuring reliable capture and validation across 100% of transactions. Streamlined CI/CD pipelines via GitHub Actions, cutting manual deployment steps by 60% and improving data consistency across environments.
QR4Change – AI-Powered Civic Grievance Platform (Dataset)
July 1, 2025 – November 1, 2025
Architected end-to-end ETL/ELT pipelines ingesting 5,000+ civic complaint records from structured and semi-structured sources into a unified data store. Unified 3 heterogeneous data sources with automated validation checks, reducing erroneous entries by ~35%. Delivered Power BI dashboards tracking 10+ KPIs – complaint trends, urgency scores, and resolution metrics – enabling data-driven stakeholder reporting. Eliminated ~40% of manual data processing effort by automating classification via NLP and computer vision models.
Construction Site Safety – Real-Time Detection & Data Pipeline (IEEE Xplore)
January 1, 2025 – April 1, 2025
Developed a real-time data ingestion pipeline transforming video feeds into structured safety event records across 1,000+ frames per session. Consolidated model outputs into structured datasets, enabling trend analysis across 15+ safety violation categories; research published on IEEE Xplore. Produced automated reporting outputs documenting pipeline performance and detection accuracy across test datasets.
Finalist - Sociothon 2025 (PRISM × 1M1B)
Unknown
January 1, 2025 – Present
First Runner Up – DSS'25 (AI & DS Dept., VIIT)
VIIT
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's participation in academic projects, hackathons, and leadership programs (Aspire Leader's Program, Vishwapreneur organizer) indicates a proactive, collaborative, and growth-oriented mindset. The diversity of projects, from civic grievance platforms to e-commerce and safety detection, shows adaptability and a willingness to tackle varied challenges. Their interest in data-driven AI solutions aligned with UN SDGs suggests a socially conscious approach, which can be a strong cultural asset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving, analytical thinking, and collaboration skills through project descriptions and participation in hackathons. Their experience in coordinating data flows and maintaining structured documentation indicates good operational fit and attention to detail. The ability to translate operational data into analytics dashboards highlights a business-oriented mindset.