Help & Supportcareers@gravityer.com
Data Engineer with 4+ years in ETL/ELT pipelines, SQL, and cloud data solutions.
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 Engineer with 4+ years of experience building scalable ETL/ELT pipelines, optimizing SQL workloads, and developing cloud-based data solutions using Snowflake, Azure Databricks, PySpark, Azure SQL, and Python. Experienced in designing automated data workflows, improving pipeline performance, and delivering production-ready analytics solutions for enterprise organizations including Microsoft, Samsung, and the State of Missouri. Strong background in data warehousing, workflow automation, data modeling, and performance optimization across large-scale reporting and analytics systems.
University of Toronto
Master of Applied Computing
August 1, 2022 – June 30, 2024
University of Windsor
Bachelor of Computer Science & Business Administration (Honours)
August 1, 2017 – June 30, 2021
State of Missouri
Data Analyst
December 1, 2023 – Present
USA
CBRE (Client: Microsoft)
Data & Business Systems Analyst
July 1, 2023 – December 1, 2023
USA
Avacend (Client: Samsung)
Data Analyst
January 1, 2023 – June 1, 2023
USA
Quality Cheese Inc
SQL Data Analyst
January 1, 2021 – December 1, 2022
Canada
Clinic Appointments No-Show Dashboard
June 25, 2026 – Present
• Designed a dimensional model analyzing no-show rates and utilization. • Built dashboards to improve scheduling and capacity planning.
SupportOps KPI Dashboard
June 25, 2026 – Present
• Developed fact and dimension tables for SLA and operational metrics. • Built dashboards to track trends and identify SLA breaches.
Home & Mortgage Analytics Dashboard
June 25, 2026 – Present
• Designed a star schema model to support mortgage and affordability analysis. • Built dashboards analyzing PITI, DTI ratios, and YoY trends.
Cultural Fit Analysis
The candidate's project diversity, ranging from mortgage analytics to operational KPIs and clinic appointments, demonstrates a broad interest in applying data engineering skills to different business domains. Their experience with multiple companies and clients (State of Missouri, CBRE/Microsoft, Avacend/Samsung, Quality Cheese Inc) indicates adaptability to various organizational cultures and project requirements. The consistent focus on improving efficiency and delivering measurable business impact aligns well with performance-driven environments. The breadth of technical skills (Python, SQL, PySpark, Azure, Snowflake, Power BI, Tableau) suggests a continuous learning mindset, which is a positive cultural indicator.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on efficiency and performance optimization, indicating a results-oriented approach. Their experience across various client environments (Microsoft, Samsung, State of Missouri) suggests adaptability and the ability to work with diverse stakeholders. The emphasis on automating workflows and reducing manual effort points to a proactive problem-solving mindset. However, without specific psychometric or English test results, a deeper assessment of stress handling, team collaboration, and communication clarity beyond resume content is not possible.