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AWS · RDS · Aurora · DMS · DocumentDB

AWS Database Consultant
Auckland & ANZ

Senior AWS database help for teams that need production-safe decisions across Aurora PostgreSQL, Amazon RDS, DMS, RDS Proxy, DocumentDB, migration planning, HA/DR and operational resilience. You work directly with Dipak Rijal — Oracle Certified Master, AWS PostgreSQL SME and Auckland-based senior cloud database engineer.

Available immediately for contract & partner subcontracting · Auckland / Remote ANZ

NZ-based senior specialistAuckland presence, ANZ remote delivery.
Oracle + PostgreSQL depthOCM background with AWS database focus.
Production-first deliveryAssessment, change control, rollback and runbooks.
Partner friendlyContracting, subcontracting and advisory support.

When to call me

This page is for teams that already have a live AWS database concern or a migration decision that needs senior judgement, not generic cloud advice.

Production risk

RDS or Aurora is under pressure

Slow queries, rising latency, lock waits, storage growth, connection storms or failover concerns are starting to affect business confidence.

  • Triage before risky changes
  • Clear root-cause path
  • Rollback-aware recommendations
Migration pressure

Oracle, PostgreSQL or on-prem migration needs a safer path

You need realistic scope, DMS/SCT strategy, validation design, cutover sequencing and stakeholder-ready explanation before committing.

  • Assessment first
  • Cutover and rollback plan
  • Post-migration tuning
Partner support

Your delivery team needs senior database depth

Useful for AWS partners, consulting teams and internal platform teams needing a specialist for bids, design reviews or escalations.

  • White-label friendly
  • NDA available
  • Written scope and outputs

What I check first

Aurora / RDS

Workload and architecture posture

Instance class, storage behaviour, parameter groups, failover design, connection patterns, wait events, backup posture and observability gaps.

  • Performance signals
  • Availability design
  • Cost and capacity posture
Migration

Replication and cutover risk

Source constraints, schema complexity, DMS task design, full-load and CDC behaviour, validation checkpoints and rollback readiness.

  • AWS DMS/SCT
  • Validation plan
  • Business continuity
Operations

Runbooks and support model

Whether the team can detect, diagnose and recover from common RDS/Aurora incidents without depending on tribal knowledge.

  • Incident playbooks
  • Monitoring checks
  • Handover documentation

Typical deliverables

For technical teams

  • Architecture or workload review
  • Bottleneck summary and prioritised remediation plan
  • Parameter, query, index or migration recommendations
  • Rollback-safe change sequence
  • Monitoring and validation checklist

For managers and partners

  • Plain-English risk summary
  • Written scope and expected outcomes
  • RCA or readiness report suitable for stakeholders
  • Handover notes and runbook material
  • Clear next-step options by urgency and budget

Best-fit outcomes

  • Stabilise live workloads
  • Prepare migration or cutover
  • Improve HA/DR confidence
  • Reduce cloud database cost waste
  • Support partner bids and delivery spikes

How the engagement works

First I confirm the problem and urgency. Then I provide a scoped path: rapid triage, fixed-scope review, migration readiness assessment, or longer contract/subcontracting support. The goal is senior judgement quickly, without changing the rest of your delivery model.

Why this is different from generic cloud advice

Database-first AWS judgement

The advice starts from database behaviour: workload shape, recovery needs, query patterns, replication design and operational ownership. AWS service choices then support the database outcome, not the other way around.

Useful for both builders and decision makers

Technical teams receive practical next steps and runbooks. Managers receive risk, trade-offs and decision-ready summaries that help justify scope, sequencing and investment.

Built for live environments

The work assumes production constraints: change windows, rollback, stakeholder confidence, security, confidentiality and handover to the people who will operate the platform after the engagement.

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