Aayush Ghimire

I’m a Data Engineer with hands-on production experience building ETL pipelines, dimensional data warehouses, and BI dashboards using Python, SQL, and PostgreSQL. I focus on automating data workflows, enforcing data governance, and delivering reporting systems that cut manual effort at scale.

In my current Software & Data Engineer role at Time to Give, I built Python/SQL ETL pipelines processing 10K+ daily donation records with automated validation, reducing manual data entry by 85%. I also develop Power BI dashboards integrating Salesforce CRM and PostgreSQL across 8 programs serving 10+ nonprofits.

I strengthen reliability through automation and governance: I implemented CI/CD for data workflows with GitHub Actions, including PII handling and access controls. Alongside engineering, I’ve built AI/ML solutions—developing a stock price prediction system with technical indicators and serving real-time ML predictions via a Django REST API with sub-2-second latency.

My project work reflects the same emphasis on integrity and testability. I designed a Star Schema healthcare data warehouse for 20K+ clinical records, built a Python ETL pipeline with 100+ unit tests, and reduced ad-hoc reporting by ~60% through outcome and KPI dashboards. I’m eager to keep delivering dependable, end-to-end data products—powered by clean engineering practices and measurable business impact.