Rajesh Patidar

Background

About Rajesh Patidar

Professional Summary: Principal Architect with over 24 years of experience, specialising in Data Solutions, Business Intelligence (BI), and Analytics including 10 years of strategic leadership and management experience. Expertise in data and analytics strategy, enterprise data architecture, data integration, and data governance. Proven track record in designing and developing data platforms, implementing end-to-end enterprise data warehouses, and delivering large-scale BI and analytics solutions across multiple industries such as Public Transport, Banking, and Logistics. Strategic and Leadership: • Defined strategies and roadmaps for Data, BI and analytics initiatives. • Drive and implemented data strategy, to promote data democratization and self-service analytics. • Contributed to setup up of data and BI teams. • Led and mentored team of Data - Architects, Analyst, Engineers and Developers. • Built strategic alliances with technology vendors. • Demonstrated excellent communication, networking and cross-functional collaboration skills. • Proven ability to influence and impact stakeholders at various levels. Data, BI and Analytics Technical: • Architected, designed, and implemented one of the largest data and analytics platform in Ireland public sector. • Led end to end business Intelligence and analytics projects. • Developed reference architectures, design patterns, best practices, and standards for Modern Data Warehouse Architecture, ETL platforms, and Business Intelligence. • Designed and implemented the migration of large-scale on-premises systems to the cloud. • Designed and implemented solutions to democratize data and enable self-service analytics. Skills: Team management, leadership and strategic direction, stakeholder management, decision making, budget management, resource planning and priority management. Data Strategy, Data Fabric, Medallion Architecture, Data Mesh, Data Architecture, Enterprise Data Warehouse, Data Integration, Data Engineering, Business Intelligence, Reporting, Data Analytics, AI, ML, Data Governance, Data Protection, Data Security, Data Quality, Data Management, Data Analysis, Data Discovery, ETL, Big Data. Microsoft Fabric, Azure Data Lake Store, Azure Synapse Analytics, SQL server, Azure Analysis server, Azure Data Factory, Azure Open AI, Cognitive services, Logic App, SQL services integration services(SSIS), Ab Initio, SFTP Microsoft Power BI, SQL services reporting services(SSRS), SQL services Analysis services(SSAS) SQL, Python, PL/SQL, C, Pro C, Power shell, Unix/Linux shell