Araz Azadsamari

Provided BI-aligned application support improving data readiness for internal reporting. Assisted in data cleanup activities improving KPI visibility.

• Collaborated with cross-functional stakeholders (marketing, operations, finance) to define data needs and build tailored BI dashboards supporting key KPIs. • Facilitated rigorous data cleansing using Python pre-processing libraries, boosting report accuracy by 20% and ensuring consistency in BI tool outputs. • Delivered technical support and user training for BI tools. • Integrated SQL-based data workflows into Power BI for department-wide reporting, closely aligning with business process improvement

• Improved weekly reporting time by 40% for business insights through advanced data cleaning in Power BI, leveraging SQL and Python for streamlined operations. • Coordinated data modeling initiatives using SQL and Python, resulting in unified warehouse structures that improved data retrieval speed by 20% over 18 months. • Enhanced data extraction and analysis efficiency by 30% through the deployment of automated ETL processes using SQL and Python, reducing manual overhead and aligning with strategic busin

• Elevated query performance and database response times by 35%, leveraging SQL Server best practices and indexing enhancement techniques for large-scale corporate datasets. • Designed and maintained complex SQL queries and stored procedures for reporting and data analysis, improving data retrieval efficiency by 30%. • Implemented and managed SQL-driven ETL pipelines to facilitate seamless data consolidation from multiple sources into data warehouses.

Elevated query performance and database response times by 35%, leveraging SQL Server best practices and indexing enhancement techniques for large-scale corporate datasets. Designed and maintained complex SQL queries and stored procedures for reporting and data analysis, improving data retrieval efficiency by 30%. Implemented and managed SQL-driven ETL pipelines to facilitate seamless data consolidation from multiple sources into data warehouses.