Preparing data sets and reports that will provide insight to business units under the headings of Sales, OMS, Delivery , Product Listing, Click Events, Merchant Performance, Courier Performance etc. Data Sources: Google Big Query, PostgreSQL. Reporting Platforms: Power BI & Google Data Studio. - Query optimization and Power BI Incremental Refreshing settings for large datasets. - Preparation of Materialized views and Scheduled Queries for reports that require instant data. - Designing extraordinary Power BI templates that will enhance the user experience

- Providing start-to-end Business Intelligence Solutions to facilitate strategic decision making. - Analyzing customer needs well and developing practical results. - Modeling and controlling the data warehouse. - Developing ETL solutions with Microsoft SSIS, SSAS on premise & Azure. - Experience on working Azure SQL DB and Azure SQL Managed Instance. - Design, implement and manage BI solutions on Azure cloud with using Azure Data Factory, Azure SSAS and Power BI. - Building various data visualizations to tell the story of business trends, patterns, and outliers through rich visualizations on Power BI and SSRS (on premise & Azure Cloud). - Enriching the report visuality with Adobe Photoshop. To design reports that comply with current graphic design techniques. - Implementing Row Level Security in Power BI Analysis Services and SSAS. Report display according to user levels. - In order to increase report interactivity, using PBI Bookmarks and Power Apps. - Preparation of Power BI Report in different data sources and methods. (SQL Databases, SSAS OLAP Cube, Microsoft Excel etc.) (Import / Direct Query Mods) - Creating and scheduling audit mechanisms to control the ETL process.