Fahad Ghafoor

At DyCoders, I architect and maintain Snowflake data warehouse solutions for product, marketing, and finance analytics. I improved query performance by 50% and reduced critical dashboard latency from 6–8 hours to under 30 minutes through optimized data models, warehouse configuration, and production ETL/ELT pipelines.

Previously at Clinix360, I built Airflow workflows for batch processing, incremental loads, CDC, and reconciliation between operational databases and Snowflake. My pipeline improvements reduced failed executions by 60%, improved processing performance by 35%, and supported reusable data marts and semantic models for product and growth analytics.

I've also built backend services, ingestion systems, and asynchronous processing workflows at MintsClub and InvoZone using Python, Node.js, SQL, AWS, and Google Cloud. My work has included database optimization, CI/CD automation, infrastructure practices, automated testing, monitoring, and alerting.

I enjoy turning complex business requirements into trusted datasets, dimensional models, AI-ready semantic layers, and RAG preparation workflows that support analytics, reporting, machine learning, and natural-language analytics.