• Enhanced productivity by automating developer workflow using AWS CloudFormation, Lambda and ApiGateway, reducing operation time by 50% and minimizing errors through automated testing and custom NPM build processes

• Leveraged AWS Cloudwatch, DynamoDB, and Eventbridge to detect data discrepancies in 1000+ tables within 5 minutes of load time.

• Provided ample alternatives to team by designing fully realized service stack mock ups before design discussions.

• Utilized .NET ILogger interface to standardize and aggregate logs from Azure App Services, VMs and SQL servers, into single Log Analytics service, catching errors and reducing debugging time by 20%

• Designed and implemented user verification and document sharing system from database schema to customer-facing UI.

• Designed localization architecture in order to translate web application into various languages and dialects.

• Deprecated and designed replacements for high-traffic tables, reducing space usage by 30% and downstream processing time by 50% without data loss.

• Loaded and transformed information from data lakes containing 1000+ TB of data using AWS Redshift, S3 and Apache Hive, allowing for processing in AWS Glue and Athena.

• Designed Apache Spark testing suite to assess downstream impact of proposed ETL and DDL changes–ensuring data integrity for 100+ customers in security.