Ravikumar G

Dynamic and results-oriented Azure Data Engineer with over 6 years of experience in designing and implementing robust ETL processes, scalable data architectures, and effective data governance policies. Expertise in leveraging Azure services such as Azure Data Factory, Databricks, SQL Database, Synapse Analytics, and Data Lake Storage to optimize data workflows and enhance system efficiency. Proven ability to identify process improvement opportunities that significantly boost operational efficiency, achieving a 50% reduction in manual workload while fostering a collaborative team environment. Committed to building strong client relationships and driving business intelligence initiatives through innovative problem-solving and strategic data management.

• ETL Process Optimization: Implemented ETL processes using Azure Data Factory, resulting in a remarkable 50% reduction in processing time.
• Scalable Data Architecture: Designed and developed a scalable data warehouse using Azure Blob Storage, Data Lake, and Synapse, efficiently managing large volumes of data.
• Data Governance: Implemented data governance policies, leading to a notable 30% reduction in data quality issues.
• Data Security Measures: Implemented data security measures, contributing to a significant 20% reduction in security incidents.
• End-to-End Data Lake Solution: Designed and developed an end-to-end data lake solution from scratch, facilitating efficient data processing and management.
• Global Metrics Development: Collaborated with Analytics and BI teams to develop globally adopted metrics, reducing manual data analysis by over 50%.

Databricks Certified Data Engineer Associate