Waheed User

Designed and built data models in Microsoft Fabric Lakehouse and Warehouse workloads. Developed Power BI reports and dashboards, and architected scalable data pipelines processing 2+ TB of data daily using PySpark.

Architected and implemented data pipelines using AWS services and developed Excel/VBA automation solutions to streamline data processes. Optimized Cloudera HDFS/Hive environments.

Architected and implemented BI solutions using Microsoft Fabric, Databricks, Azure Data Factory, and Power BI. Built scalable data pipelines and provided mentorship to junior developers.

Designed ETL workflows and data models using ADF, Databricks, Synapse, and PySpark. Delivered complex Power BI dashboards with advanced DAX and managed data pipelines across Azure, AWS, and GCP.

Developed ETL/ELT pipelines and API solutions, and delivered enterprise BI solutions using Power BI, Tableau, and QuickSight. Managed AWS and GCP big data environments.

Led migration of 4PB+ data from legacy Oracle DB to big data platforms. Built data pipelines using PySpark, Spark SQL, Hive, and Airflow, and designed dashboards with OBIEE and Power BI.

Managed data migration of 600TB+ into Oracle DB warehouse. Developed ETL workflows and automated processes using Unix/Shell/Perl scripting, and built interactive dashboards in OBIEE and Power BI.

Developed e-commerce solution using PHP, SQL, and Shell scripting. Managed digital reporting and web application development.

Developed and managed web portal for tertiary institutions. Implemented payment integration for seamless payment.

Completed a Master of Science in Computer Science in 2021.

Completed a Postgraduate Diploma in Computer Science in 2014.

Completed a Bachelor of Science in Computer Science in 2009.