Zaid Khan Email and Phone Number

• Responsible for developing and optimizing complex ETL workflows using SQL and Power BI, integrating data from SAP, MS Azure, and other sources to create efficient data pipelines that ensure reliable, high-quality analytics.• Design, model, and deploy Power BI dashboards, utilizing DAX and Power Query for custom metrics, to provide real-time, actionable insights tailored to stakeholders in Sales, Finance, and Supply Chain.• Employ advanced SQL for data extraction, transformation, and reporting, crafting SQL-driven reports and queries that deliver detailed insights and meet diverse reporting requirements.• Serve as a Subject Matter Expert (SME) in BI tools, supporting data governance, self-service analytics, and security, including row-level security (RLS) configurations, to safeguard data integrity and manage user access.Strategic Contributions:• Collaborate with cross-functional teams to translate complex business needs into precise technical solutions, aligning BI capabilities with Sigma’s strategic goals and increasing data literacy across departments.• Lead and support end-to-end data projects, guiding requirements gathering, data modeling, and visualization to deliver analytics solutions addressing Sigma’s business challenges.• Enhance data utilization and reporting efficiency, driving ROI by optimizing data management practices and deploying scalable BI solutions that empower teams to make timely, data-driven decisions.

• Leveraged SSMS, and SSIS, for ETL processes, enabling diverse data migration, storage, and analysis. • Employed data modeling, Power query editor, and DAX to craft tailored Power BI dashboards, empowering stakeholders with actionable insights for strategic decisions.• Collaborated across teams to devise and implement data-driven strategies aligned with clientobjectives. Orchestrated supplier scorecard systems by integrating SQL for data extraction, Excel for scorecard calculations, and Power BI for interactive reporting on supplier performance.• Demonstrated Agile methodology understanding through SQL utilization, process flow documentation, and efficiency enhancements. Addressed data queries adeptly, utilizing SQL for efficient data preparation contributing to accurate BAU reporting.• Implied Data Governance and Security principles and best practices including RLSs, data security, integrity Authentication, and Authorization.Key Achievements:• Led and assisted in diverse projects that enhanced store self-sufficiency and sales for majorsupermarket chains, utilizing various tools including Power BI, SQL for interactive dashboards, and data from various sources, including SQL server and Excel, resulting in 5% to 10% sales growth. • Engaged in the end-to-end processes including discussing requirements, data collection, data normalization, data analysis, and visualization for various projects aiming towards discovering business opportunities which had a major impact in securing business worth 1M.• Led and created seamless efficiencies across the company utilizing multiple automation tools, saving REM, time, and cutting down major redundant processes.

Ramraj cotton is one of the India's largest Manufacturer, Supplier and Exporter of Cotton, Silk and Linen Shirts. Ramraj Cotton was established in 1983, engaged in business with Indian and International markets for giving quality and valuable products to the Indian lifestyle. -Collected data and performed qualitative research and analysis for brand improvement which helped decrease errors and increase sales by 10%. -Assisted in developing strategic initiatives with cross business senior level managers by conducting strategic mapping and industry benchmarking exercises. -Performed management reporting including production of reports and cost benefit augmentation for proposed improvement projects by seniors. -Assisted seniors in collaboration with stakeholder groups across the organization to ensure business and technology alignment. Proposed solutions meeting defined specifications and needs. -Regular update and development in process automation to reduce human relevancy and effort.

-Support development, enhancement and maintenance of multiple datasets. -Evaluate datasets for consistency, completeness, accuracy and reasonableness. -Interact with customers and other teams to obtain data requirements for new and existing applications. -Audit data on a regular basis and ensure data integrity. -Manage the regular report running schedule and process. -Perform data management activities in accordance with customer, company, contract, and regulatory requirements.