Vedansh Gor

Data Engineer with Master's Degree in Computer Science focused on building data pipelines that behave correctly even when upstream data is messy or inconsistent. I have experience working with PySpark, Apache Airflow, and lakehouse architectures using Delta Lake. My main focus is on designing pipelines that are idempotent, support incremental processing, and handle late or duplicated data without breaking downstream systems.

I build scalable systems that grow with data volume without compromising reliability. I care about pipeline reliability, recoverability, and data consistency in real production-like environments.

Software Developer Intern - Tech Elecon Pvt. Ltd.

• Gujarat, India

(2023-01 - 2023-04)

• Improved backend data flow performance by rewriting inefficient PostgreSQL query patterns, directly reducing API-to-database latency for high-traffic endpoints.
• Optimized SQL joins, indexes, and query execution plans across multiple relational schemas, enabling faster data retrieval and improving application responsiveness under peak load.
• Redesigned data mapping logic between the application layer and relational database schema, reducing data inconsistency errors across 3 core modules.

Master of Science - Computer Science - Lakehead University (2024-09 - 2025-09)