• Designed, developed, maintained and optimized data pipelines using Azure Data stack, ensuring reliability, scalability, and efficiency for data extraction, loading, and transformation.• Implemented data models using Kimball methodology, including star and snowflake schema designs, to support efficient querying and analysis in line with business requirements.• Engineered ETL processes with Azure Data Factory, focusing on data volume, velocity, and variety to support efficient data flow.• Developed Python scripts for data ingestion from multiple sources.• Created Power BI dashboards and reports, enhancing data visualization and decision-making capabilities for stakeholders.• Collaborated with cross-functional teams to align data solutions with business needs, ensuring timely and accurate delivery.• Contributed to the technical design and vision for the data platform, prioritizing issues for backlog inclusion and enhancement.• Communicated technical concepts to non-technical stakeholders effectively, ensuring clarity in daily operations and requirements gathering.• Implemented comprehensive processes for data reconciliation and validation, troubleshooting issues and performing root cause analysis.• Addressed ad-hoc data inquiries, delivering precise insights to multiple stakeholders.

Roles and Responsibilities• Actively involved in all stages of development from design to implementation• Worked on Data migration project for a number of clients, prepared the data mapping documents and transformations if required. • Build Data Models for multiple HR reporting systems• Work on the project architecture, database design, implement best practices, conduct code reviews.• Liaise with clients on matters relating to technology and business.• Develop and support HR systems for various clients• Support QA, Pre-Production, and Production releases.