10+ years as an Oracle DBA, with expertise in design, implementation, backup, recovery, monitoring, and performance tuning.
5+ Expertise with multiple AWS DB Services, Lambda creations for automating multiple DB jobs.
5+ Database automation in AWS with RDS, Lambda using Python. Preferable: Oracle, Postgres, AuroraDB.
Expertise in high-availability database features, replication, disaster recovery, and live production schema changes.
Proficiency with cloud-specific technologies (S3, Route 53, CloudFormation, AWS CDK, AWS Cloudwatch, AWS RDS, AWS Redshift, DynamoDB, Redis), version control tools (Git), and database life-cycle management.
Knowledge of database security, backup retention policies, and scaling databases.
Experience with managing the full life cycle of database schema design and implementation, which includes script management from development through production releases.
Experience implementing database schema changes in a live production environment requiring minimal downtime and zero performance impact.
Work with customer, deployment squads, and product management to identify and document use case scenarios.
Having led on all data solution aspects including setting data standards and providing your deep technical expertise to development teams for best practices, systems, and architectures.