A live record of certifications, courses, training, and awards — pulled directly from the source of truth.

Foundational deep dive into Amazon Aurora, covering its distributed storage architecture, replication, failover behavior, performance characteristics, and the differences between Aurora Standard, I/O-Optimized, and Serverless v2 configurations.

Overview of managed PostgreSQL options on AWS, comparing Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL. Covers feature differences, performance and availability characteristics, and choosing between them.

Deep dive into PostgreSQL multi-version concurrency control (MVCC) and the internals of VACUUM and autovacuum, including transaction IDs, dead tuples, bloat, and tuning vacuum behavior on Amazon RDS and Aurora.

Architectural overview of PostgreSQL internals, including process and memory architecture, the write-ahead log, MVCC, the buffer manager, and how these mechanics behave when running on Amazon RDS and Aurora PostgreSQL.

Developer-focused course on PostgreSQL, covering schema design, indexing, query optimization, transactions and isolation levels, and developer-relevant features like JSONB, full-text search, and extensions.

Introduction to Amazon Aurora, AWS's MySQL- and PostgreSQL-compatible relational database engine. Covers cluster architecture, storage and replication design, performance characteristics, and how to provision and connect to an Aurora cluster.

Introduction to AWS Database Migration Service, including replication instances, source and target endpoints, migration tasks, and using the Schema Conversion Tool for heterogeneous migrations.

Data modeling guidance for Amazon ElastiCache for Redis, covering key design, data type selection, expiration and eviction strategies, and patterns for caching, session storage, leaderboards, and pub/sub.

Comparison of Amazon Aurora MySQL and Amazon RDS for MySQL, focusing on differences in architecture, performance, high availability, and pricing. Helps practitioners choose between the two managed MySQL options based on workload requirements.

Introduction to running MariaDB on Amazon RDS, including instance and storage selection, parameter groups, backup and restore, multi-AZ deployments, and connecting from applications.

Introduction to running MySQL on Amazon RDS, covering provisioning, parameter and option groups, automated backups and snapshots, read replicas, and Multi-AZ failover.

Introduction to running Oracle Database on Amazon RDS, covering supported editions, license models (BYOL and license-included), option groups, and key administration tasks for managed Oracle workloads.

Introduction to Amazon RDS for SQL Server, covering supported editions, licensing options, multi-AZ configurations, native backup and restore to S3, and integration with Active Directory.

Conceptual primer on Amazon Relational Database Service, including supported engines, the shared responsibility model for managed databases, instance and storage architecture, and core operational features such as backups, snapshots, and Multi-AZ.

Troubleshooting guide for Amazon RDS for PostgreSQL, including connectivity issues, performance bottlenecks, replication lag, parameter tuning, and analyzing logs and Performance Insights to resolve common problems.

Architectural guidance for using Amazon RDS Proxy to pool and share database connections. Covers when to use the proxy, IAM and Secrets Manager integration, failover behavior, and patterns for serverless and high-concurrency workloads.

Foundational course on Amazon RDS for PostgreSQL, covering versioning, parameter and option groups, backups and snapshots, multi-AZ and read replicas, and connecting and securing PostgreSQL workloads on RDS.

Covers monitoring and logging for Amazon RDS and Aurora PostgreSQL, including Enhanced Monitoring, Performance Insights, CloudWatch metrics and logs, and analyzing PostgreSQL log output for performance and security insights.

Introductory module for the advanced PostgreSQL learning plan covering Amazon Aurora and RDS. Outlines the curriculum across architecture, performance, security, monitoring, and migration topics.

Covers security for Amazon RDS and Aurora PostgreSQL, including network isolation, IAM database authentication, Kerberos, encryption at rest and in transit, audit logging, and integration with Secrets Manager.

Demonstrates using Amazon Bedrock Knowledge Bases with structured data backed by Amazon Aurora PostgreSQL, enabling natural-language queries over relational data with grounded SQL generation and result synthesis.
I'm always learning and applying new skills — let's talk about how I can help on your next project.
Get in Touch