Master the
Salesforce platform.

Architecture patterns for Salesforce orgs with tens of millions of records — data skew and ownership, selective queries and custom indexes, skinny tables, mashup vs replication, archiving with Big Objects, and the design decisions that keep an LDV org fast.

How Salesforce Platform Events actually work — the event bus, publish-after-commit vs immediate, Apex and Flow subscribers, the Pub/Sub API, ReplayId durability, retry with EventBus.RetryableException, and the delivery allocations that bite at scale.

A field-tested approach to Salesforce data migration — object load order, external IDs and upsert, Bulk API 2.0 vs Data Loader, deferred sharing calculation, automation bypass, lock contention, duplicate rules and reconciliation. Built for real cutovers, not toy datasets.

How Salesforce DevOps Center actually works — work items, pipelines, the change-tracking model that replaces change sets, environment promotion, conflict handling, and where it fits against sf CLI and third-party DevOps tools.

A practical decision guide to asynchronous Apex: when to use Queueable, Batch, @future and Scheduled Apex, the governor limits of each, chaining rules, Transaction Finalizers, and the mistakes that take down production orgs.

A practical guide to Lightning Web Component performance — cacheable Apex and Lightning Data Service, getter and renderedCallback traps, list rendering at scale, debouncing, lazy loading, and how to measure before you optimize.

What actually stays on the profile, what moves to permission sets, and how to migrate a profile-heavy org to the permission-set-led model — with audit SOQL, permission set group design rules and the pitfalls that break user access mid-migration.

How Salesforce Flow actually behaves when an element fails — fault connectors, transaction rollback rules, the Custom Error element, Roll Back Records, retry patterns with platform events, and the monitoring setup every org needs.