Ahmed Farhad Khan

At Yuvo Telecom, I build enterprise data pipelines, warehouse and lakehouse platforms, and self-service analytics for 200+ stakeholders across Finance, Commercial, and Operations. I've delivered 50+ ELT/ETL pipelines using Python, Azure Data Factory, and Apache Airflow.

I design Medallion Architecture, dimensional models, star schemas, and SCD Type 1/2 transformations on Azure Databricks Delta Lake. My work reduced query latency by 60% and established trusted, analytics-ready datasets from Oracle, SQL Server, PostgreSQL, REST APIs, and event streams.

I also build Power BI, Tableau, and Qlik Sense dashboards, translating business requirements into scalable data models and actionable insights. Automated validation, reconciliation controls, and SLA monitoring reduced data mismatches by 70% across 15+ source systems.

Previously, I delivered ETL pipelines, data warehouse solutions, and BI reporting for Ericsson, Huawei Technologies, and Warid/Jazz telecom environments. I'm open to fully remote global engagements and bring hands-on experience in AI/ML data infrastructure, including MLflow, Delta Lake feature stores, and Azure OpenAI analytics assistants.