Chinthala Saikiran
Msbi, Power Bi & Sql Developer @Kroger
Signup · Get unlimited contacts
WORK HISTORY
Msbi, Power Bi & Sql Developer @Kroger
IN
Responsibilities:• Translated business requirements into impactful Power BI visualizations.• Utilized DAX for advanced reporting.• Designed user-friendly filters and conditional formatting.• Experience in developing Visualization reports using Power BI as per client requirement.• Created different filters like report level filters, page level filters, visual level filters and drill through filters as per business needs.• Created Workflow Rules, Record Types, Page Layouts, Approval Process, Tasks, Email Alerts, Field Updates and Outbound Messages to manage the Workflow & Approval. • Enhanced report performance and data modelling.• Applied Generative AI techniques to improve data visualization and insights.• Led the migration of on premise SQL Server databases to Azure SQL, enabling advanced analytics with Power BI.• Pyspark code in Databricks notebooks to make transformations to data.• Created linked services and dataset as per the requirements.• Experienced in creating complex SSIS and DTS packages for ETL purposes.• Building the pipelines to copy the data from source to destination in Azure Data Factory.• Worked on creating dependencies of activities in Azure Data factory.• Successfully creating the Linked Services on the source and as well for the destination servers.• Transforming data in Azure Data Factory with the ADF Transformations.
EDUCATION
Mewar University
BCA, computers
ABOUT CHINTHALA SAIKIRAN
Data professional with over 5+ years of experience in advanced data visualization and reporting using MSBI and Power BI, with strong expertise in complex DAX calculations and Power Query transformations. Proven experience working with Azure cloud technologies including Azure SQL Database, Azure Data Factory, Azure Databricks, Azure Data Lake, and Azure Storage services. Skilled in relational and dimensional data modeling with a deep understanding of Star and Snowflake schemas. Possess thorough knowledge of Data Warehouse concepts such as facts, dimensions, surrogate keys, and drill-down methodologies. Strong background in SQL Server, T-SQL, SSIS, SSAS, and SSRS for on-premise data solutions. Experienced across the complete data analytics lifecycle, from data ingestion and transformation to delivering actionable business insights. Demonstrated ability to design, implement, and manage CI/CD deployment pipelines using Azure DevOps and Git.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.