Summary
Harsh Loomba is a Senior Data Engineer based in Vancouver who builds and owns foundational platform systems that other teams rely on, with a focus on production-grade ETL, data orchestration, and observability. In roles at Upgrade and Zocdoc he designed scalable pipelines using AWS, Snowflake/Redshift, Databricks/DBT, and monitoring tooling to automate reprocessing, synchronize warehouses, and secure sensitive dumps for cross-functional consumers. His background spans full-stack and ML-enabled solutions—from deploying NLP and RNN-based models on Azure Kubernetes to instrumenting lambda-driven workflows and CI/CD for reliable data delivery. He also coaches aspiring engineers in data structures, algorithms and system design, which sharpens his ability to communicate complex trade-offs and mentor teams. A pragmatic builder with end-to-end experience across cloud stacks and analytic platforms, he blends hands-on engineering with a knack for turning ad-hoc analyses into long-term, reusable systems.
2 years of coding experience
9 years of employment as a software developer
Deeplearning AI, Machine learning, Deeplearning AI, Machine learning at Coursera
Master’s Degree, Computer Science, Master’s Degree, Computer Science at George Mason University