Abdul Moeez Qureshi

Designed and scaled production-grade data pipelines using Databricks, PySpark, SQL, dbt, Airflow, AWS and Kafka. Modernized complex pricing and competitive-data workflows, improving scalability and reliability. Re-engineered a business-critical pricing simulation process, reducing runtime from 6–7 hours to minutes. Built automated data quality checks, monitoring and alerting, while collaborating with business teams and external partners.

Built and maintained ETL/ELT pipelines and data models using Python, PySpark, SQL, Snowflake and Databricks. Developed analytics and reporting solutions, automated recurring data workflows and supported business-critical pricing processes. Improved data quality through validation and testing while collaborating with analysts, business stakeholders and engineering teams.