Successfully implemented data ingestion pipelines using AWS Glue, resulting in a 50% reduction in data processing time.Improved data quality by implementing data quality checks and validation procedures, reducing data errors by 25%.Optimized data pipelines for scalability, allowing for a 90% increase in data processing capacity to handle growing data volumes.Resolved data pipeline issues promptly, achieving a 95% uptime for data delivery to end-users.Developed… Show more Successfully implemented data ingestion pipelines using AWS Glue, resulting in a 50% reduction in data processing time.Improved data quality by implementing data quality checks and validation procedures, reducing data errors by 25%.Optimized data pipelines for scalability, allowing for a 90% increase in data processing capacity to handle growing data volumes.Resolved data pipeline issues promptly, achieving a 95% uptime for data delivery to end-users.Developed and maintained comprehensive technical documentation, ensuring clarity and efficiencyin data pipeline development and maintenance processes.Leveraged AWS Lambda and CloudFormation to automate data processing tasks, reducing manual effort by 80%.Utilized Python programming skills to streamline data transformations, resulting in a 40% improvement in data processing efficiency.Applied SQL and relational databases for data querying and manipulation, reducing queryexecution time by 60%.Demonstrated expertise in data modeling and data warehousing, leading to a 30% improvement indata organization and accessibility.Leveraged AWS Athena for ad-hoc data analysis, enabling faster insights and reducing analysis timeby 50%. Show less