Power BI Architect
Syed A
Sayed is a seasoned Power BI Architect known for delivering impactful business intelligence solutions. His expertise in designing, developing, and optimizing Power BI dashboards and reports has driven notable improvements in data-driven decision-making and business performance. Sayed is available hourly, monthly, or quarterly to enhance your Power BI infrastructure and support your analytics needs.
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Responsibility
Design and implement scalable Power BI solutions to meet business requirements.
Develop data models and dashboards to provide insights and support decision-making.
Collaborate with stakeholders to gather and analyze requirements for Power BI projects.
Optimize Power BI performance through best practices in data modeling and DAX optimization.
Ensure data security and compliance by implementing appropriate measures and access controls.
Provide technical guidance and mentoring to junior team members and BI developers.
Integrate Power BI with other data sources and systems to create comprehensive analytics solution
Monitor and maintain Power BI environments to ensure high availability and reliabile
Data Architect
Leading, designing, implementing and supporting the Data model and the enterprise BI dashboards
and reports.
Developing reports, dashboards G KPI scorecards and aggregate data from various sources.
Working with variousdata sources to do the data ingestion, transformations and reporting the data.
Balance functionality look/feel and performance to ensure an excellent user experi- ence which is a strong focus of the role
Working with other teams to gather and document reporting requirements and to use the underlying data sources/data warehouses to meet business requirements.
Conducted training programs and knowledge transfer sessions for junior developers as needed.
Conceptualize the BI reporting dashboards and get an agreement with business stakeholders.
Refine the business requirements into detailed documentation.
Senior Data Engineer
Mainly working on end-to-end data analysis, data modelling and data Ingestion, Processing and
Visualization using Azure Technologies.
Experience working in Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure analysis tabular model and Power BI.
Expertise in creating models, partitions and measures using DAX. Working experience in Office
365 products suite, PowerShell script, Office 365 Admin centre, Azure AD for POWER BI.
Access provisioning in Power BI, Power BI environment setup, Setup of PowerBI environment, and Administration of Power BI services.
Experience in Dimensional Data Modelling, Model development and manipulations in SQL Server Analysis Services (SSAS).
Design SSAS Cubes and build attribute relationships for optimal query performance of
Dimensions and Facts. Experience working in DAX for both AAS and Power BI.
Working experience in Azure Data Factory, Azure Data Lake Store Gen2, and Azure Analysis
Services.
Experienced in the Properties domain. Experience in SDLC process, and agile methodologies.
Good Knowledge of data warehousing and ETL concepts.
Experience in Analyzing and automating operations processes.
BI Developer
Migrating from the On-Premise platform to the Azure cloud data platform.
Migrated IBM Cognos to Azure Data Platform.
IBM Cognos to Power BI, Netezza and Oracle to Azure SQL Data Warehouse.
Experience working in Azure analysis tabular model and Power BI Experience working in DAX for both AAS and Power BI.
Working experience in both Azure Data Factory V1 and V2, Azure Data Lake Store Gen1, and
Azure Analysis Services.
Experienced in Retail knowledge domain.
Experience in SDLC process, and agile methodologies.
Good Knowledge of data warehousing and ETL concepts
Analyzing memory issues in AAS using SQL profiler. Analyzing new issues in reports and validating them using SSMS.
Translating functional design into technical design. End-to-end Project Development
(Backend/Data Load through ETL and visualization).
Developing DWH/ Database/ Procedures in SQL Server 2016.Developing ADF pipelines to move data from On-Premise SQL DB to Azure Blob Storage.
Developing ADF pipelines to move data from Azure Blob Storage to Azure SQL DWH.
Used Azure analysis service to build measures and required calculations