Re-engineer mainframe batch jobs to equivalent ETL batch processes, preferably using Cloud-Native tools like AWS Glue.
Leverage serverless cloud services to prepare (extract and transform) and load large numbers of datasets for data processing.
Coordinate closely with mainframe resources to ensure requirements and specifications are clearly understood.
Design Glue jobs to meet requirements, consider performance where applicable, code per standards, and perform end-to-end testing.
Document the design specifications and contribute to implementation plan then work with the architecture team and lead developer to review the design and the code.
Effectively coordinate the infrastructure/service needs working with the architecture and infrastructure teams.
Implement overall solution comprising of Glue ETL PySpark jobs including SQL queries, Lambda, Step Functions, REST API calls.
Develop and integrate custom developed software solutions to leverage automated deployment technologies.
Use industry leading DevOps tools such as CodeCommit, CodeBuild, CodePipeline and AWS CloudFormation.
Communicate key project data to team members and infrastructure team cohesion and effectiveness.
Leverage Atlassian tool suite like JIRA and Confluence to track activities.
Identify and apply best practices and standard operating procedures.
Create innovative solutions to meet the technical needs of customers.