Principal Consultant - Data Engineer | Azure Data Factory | Azure Data Bricks| SQL | Power BI | Python | Snowflake
Highly skilled Data Engineering, Analytics & Architect Professional with expertise in leveraging Azure & AWS Services such as Azure Data Factory, Azure DataBricks, Power BI, SQL, Python, Azure SQL Data Warehouse, Snowflake, ADLS, Azure Synapse, AWS, AWS S3, AWS Glue, Kinesis Firehose, SQS, SNS, Lambda, Athena etc. and other Azure & AWS services for database, storage, security, and Business Intelligence development
Work Terms
• Increased data processing efficiency significantly through the implementation of optimized ETL processes, resulting in significant time and cost savings for the organization
• Improved data quality by implementing comprehensive data cleansing and validation procedures, reducing data errors and enhancing the accuracy and reliability of analytical insights
• Led the successful implementation of a data lake architecture, resulting in improved data accessibility and streamlined data integration from multiple sources, leading to a remarkable reduction in data integration time
• Developed and deployed a real-time analytics platform, enabling the organization to make data-driven decisions in near real-time, resulting in considerable improvement in operational efficiency and faster response to market trends
• Spearheaded a data governance initiative, establishing data quality standards, data lineage, and data privacy controls, ensuring compliance with regulatory requirements and earning accolades from auditors for maintaining a high level of data security