Overall experience of 15+ years in Data Engineering and Analytics domain.
Proven ability to architect and build robust, high-performance, and adaptable solutions optimal for modern cloud platforms like GCP, AWS, and Azure.
Develop and maintain the overall data architecture strategy and roadmap in alignment with business objectives.
Design, implement, and maintain data models, schemas, and structures for data warehouse solutions.
Experience in designing data platforms and pipelines on traditional RDBMS-based platforms like SQL Server, Oracle, etc.
Experience as a Data Modeler/Data Architect; deep proficiency in data modeling and data management principles.
Hands-on experience designing data pipelines with Spark, Python, Scala, etc., leveraging Azure Databricks.
Experience in building data pipelines using ETL tools like Informatica/IICS, Talend, etc., integrated with Azure cloud services.
Experience delivering analytical solutions using tools like Power BI, Tableau, Looker, etc., with integration capabilities with Azure services.
An understanding of a variety of data access approaches (for example, microservices and event-based architectures), with consideration for Azure cloud services.
Understanding of data governance principles, including implementation on Azure cloud platforms.
Experience with a Healthcare industry-focused data model preferred.
Understanding of SDLC and Agile methodologies, experience with Scaled Agile Framework is a plus.
Ability to work with business, operations, and engineering stakeholders to gather requirements and deliver solutions.
Excellent communications and documentation skills; ability to work on a collaborative team.
Experience in proposal solutioning, execution approach & estimation.