Sohel Basha Chitveli

Dedicated and analytical Power BI Developer with 5+ years of experience in building scalable and insightful data visualization solutions. Expertise in data analysis, report development, and transforming business requirements into interactive dashboards. Passionate about leveraging data to drive strategic decisions and improve business performance. Seeking an opportunity in Business Intelligence where I can contribute my technical expertise and add value to organizational growth.

• Hands-on experience with Power BI Desktop, Power Query, Power BI Service, DAX, and Azure Services.
• Proficient in creating various chart types, including pie charts, donut charts, word clouds, cards, gauges, and slicers, as well as working with custom visualizations in Power BI.
• Strong knowledge of data warehousing concepts such as star schema and snowflake schema, with expertise in identifying dimension and fact tables.
• Extensively utilized transformations such as merging queries, appending queries, pivoting columns, unpivoting columns, adding custom columns, and splitting and merging columns.
• Experienced in connecting to multiple data sources, including SQL Server, Azure SQL, Azure Data Lake Storage (ADLS), JSON, CSV, and Excel, to build complex datasets in Power BI.
• Proficient in advanced Excel, SQL, and Power BI (both Power BI Desktop and Power BI Service).
• Extensively used various categories of DAX functions, including time intelligence functions, filter functions, date functions, logical functions, text functions, and statistical functions to create new information. Additionally, experienced in performing ETL activities in Power Query.
• Worked extensively on enhancing the data model by creating new columns, measures, and tables using DAX expressions, with significant experience in data modeling in Power Pivot.
• Hands-on experience with visual-level, page-level, report-level, and drill-through filters for filtering data in reports, as well as experience in sharing reports and dashboards with end users.
• Published Power BI reports in the required organizations and made Power BI dashboards available in web clients and mobile apps.
• Hands-on experience implementing row-level security, bookmarks, and parameters to restrict user access.
• Experience in publishing reports to Power BI Service and setting up the necessary connections.
• Extensive experience in creating dashboards and mobile views using multiple reports.
• Worked with On-Premises Data Gateway to refresh and schedule data in the dataset.
• Experience working with Azure services, including Azure Storage, Azure Data Lake Storage, Azure SQL Database, and Azure Data Factory.
• Collaborated with Azure data engineers and operations teams to implement the ETL process using Azure Data Factory, writing and optimizing SQL queries to perform data extraction that fits analytical requirements.
• Proficient in creating automated workflows to ingest, transform, and orchestrate data from diverse sources into cloud-based environments.
• Skilled in optimizing data flows, monitoring performance, and ensuring the high availability of pipelines.
• Strong knowledge of Azure ecosystem services, including Azure SQL Database, Azure Data Factory (ADF), Blob Storage, Data Lake, Data Warehouse, and Synapse Analytics.