Data Engineer
CurrentDeveloped data pipelines in cloud-native environments such as AWS, Azure, and Google Cloud PlatformDeveloped an automated data warehousing solution that improved data availability by 70%Developed a data warehouse that enabled users to easily query complex datasetsDeveloped an automated data cleansing process to reduce manual errors and improve data qualityDesign, develop, and maintain data pipelines and ETL processes for large-scale data sets.Build scalable and efficient data storage systems, including data warehousing and data lakes.Collaborate with stakeholders to understand data requirements and ensure availability.Optimize data pipelines and storage systems for performance and reliability.Integrate data from various sources and troubleshoot pipeline and storage issues.