Help & Supportcareers@gravityer.com
Data Engineer with 2+ years in ETL, BI & Data Modeling
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data professional with experience in data engineering, ETL workflows, reporting, and business intelligence. Skilled in SQL, Python, Power BI, Microsoft Fabric, and data modeling. Experienced in building automated pipelines, validating data quality, and developing analytics-ready datasets that support data-driven decision-making.
Dakota State University
M.S. · Analytics and Applied AI
August 1, 2023 – December 1, 2025
Tribhuvan University
B.S. · Computer Science and IT
N/A – December 1, 2022
International Sibling Society
Data Analytics Intern
January 1, 2026 – Present
India
Dakota State University Foundation
Graduate Assistant
September 1, 2024 – December 1, 2025
Madison, Wisconsin, United States
IT Sansaar Pvt. Ltd.
Frontend Developer
April 1, 2022 – December 1, 2022
Kathmandu, Bagmati Zone, Nepal
FIFA World Cup 2026 Analytics Platform
January 1, 2025 – Present
• Architecting and developing an end-to-end analytics platform to centralize FIFA World Cup 2026 data, including teams, fixtures, standings, venues, and match statistics. • Built ETL pipelines to ingest and transform JSON datasets into structured analytics-ready tables for reporting and analysis. • Designed a dimensional data model with fact and dimension tables to support tournament performance tracking and KPI reporting. • Implementing Microsoft Fabric Lakehouse architecture using Bronze, Silver, and Gold layers to organize raw, curated, and reporting-ready data. • Developing automated data validation and refresh workflows to maintain accurate tournament statistics throughout the competition. • Creating Power BI dashboards to analyze team performance, standings, match outcomes, and tournament trends.
Cultural Fit Analysis
The candidate's project on FIFA World Cup analytics and internship with International Sibling Society (focused on UN SDGs) demonstrates a diverse interest in applying data skills to various domains, including sports and social impact. This breadth of application, combined with academic pursuits in AI, suggests an adaptable and curious individual who could integrate well into a team that values innovation and diverse perspectives. The progression from Frontend Developer to Data Analytics roles shows a proactive career shift towards data, indicating strong motivation and alignment with data-centric roles.
Soft Skills & Operational Fit
The candidate's project and experience descriptions indicate an ability to work on end-to-end solutions, from data ingestion to visualization. The experience as a Graduate Assistant and Data Analytics Intern suggests a capacity for independent work, problem-solving, and supporting stakeholder needs. Collaboration with cross-functional teams is also mentioned, indicating good teamwork potential. The focus on automating workflows and improving reporting accuracy points to a detail-oriented and efficiency-driven approach.