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You will get PostgreSQL Performance Audit & Query Optimization Report
Project details
Your database lies about its size. I call it "Ghost Data" ā space that looks used but is actually empty bloat.
THE PROOF(with my open source toolkit): 5M row table: 650MB ā 1,693MB after updates (47.6% waste). After fix: 847MB (50% recovered).
One 18TB client burned $680/month on AWS for 8.5TB of nothing.
WHAT YOU GET IN 3 DAYS:
š BLOAT AUDIT: Table-by-table analysis. Page-level inspection (most DBAs skip this).
š§ RECOVERY PLAN: Online fix (pg_repack). Custom scripts ready to run.
ā” PERFORMANCE GAINS: 2x faster queries & backups. AWS bill drops 30-50%.
š”ļø PREVENTION: Autovacuum tuned for YOU. 6-month roadmap.
WHY ME? Not a typical DBA. 4+ years full-stack dev. Found a Node.js API making 1,760 calls/request ā fixed it: 57% less load ā 5+ months 100% uptime.
MY OPEN SOURCE TOOLKIT: github.com/waqastarar883/waqasdb-postgresql-toolkit
DELIVERABLES:
ā PDF Report with prioritized fixes
ā Copy-paste recovery scripts
ā 20-min Loom walkthrough
ā 7 days email support
PRICE: $299 (intro rate) | Only 3/week
š Click "Continue" to book
THE PROOF(with my open source toolkit): 5M row table: 650MB ā 1,693MB after updates (47.6% waste). After fix: 847MB (50% recovered).
One 18TB client burned $680/month on AWS for 8.5TB of nothing.
WHAT YOU GET IN 3 DAYS:
š BLOAT AUDIT: Table-by-table analysis. Page-level inspection (most DBAs skip this).
š§ RECOVERY PLAN: Online fix (pg_repack). Custom scripts ready to run.
ā” PERFORMANCE GAINS: 2x faster queries & backups. AWS bill drops 30-50%.
š”ļø PREVENTION: Autovacuum tuned for YOU. 6-month roadmap.
WHY ME? Not a typical DBA. 4+ years full-stack dev. Found a Node.js API making 1,760 calls/request ā fixed it: 57% less load ā 5+ months 100% uptime.
MY OPEN SOURCE TOOLKIT: github.com/waqastarar883/waqasdb-postgresql-toolkit
DELIVERABLES:
ā PDF Report with prioritized fixes
ā Copy-paste recovery scripts
ā 20-min Loom walkthrough
ā 7 days email support
PRICE: $299 (intro rate) | Only 3/week
š Click "Continue" to book
Database Type
PostgreSQL, MongoDBWhat's included
| Service Tiers |
Starter
$300
|
Standard
$750
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Tables Added | 0 | 0 | 5 |
Schema Diagram | - | ||
Permissions Setup | - | - | |
Import/Export Data | - | - | |
Admin Panel Setup | - | - | - |
Optional add-ons
You can add these on the next page.
Post-Audit Monitoring
(+ 10 Days)
+$200Frequently asked questions
About Waqas
Senior PostgreSQL Consultant | Performance & High Availability
Lahore, PakistanĀ - 2:27 pm local time
I'm a PostgreSQL Performance & High Availability Consultant specializing in multi-terabyte production systems (5TBā20TB+). My work focuses on diagnosing the real causes of database instability ā whether in query design, indexing strategy, WAL behavior, replication, connection pooling, or application-database interaction.
Before specializing in PostgreSQL, I spent five years building full-stack applications with Angular, NestJS, Node.js, and MongoDB. That background lets me analyze PostgreSQL internals alongside application code, ORM query patterns, and connection behavior. Many database performance problems begin in the application layer. Understanding both the application and PostgreSQL allows me to identify root causes that are often missed when only one side is analyzed.
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ā¢ š¦šš®šÆš¶š¹š¶šš²š± š®š» ššš§š fintech PostgreSQL cluster ā eliminated daily crashes, š+ šŗš¼š»ššµš stable production uptime, zero SLA breaches
ā¢ šš% storage reduction (š.šš§š bloat reclaimed); backup windows cut šš% via pgBackRest + Zstd with full PITR coverage
ā¢ š,šššĆ speedup on a 10M+ row time-series workload (2.1s ā 1ms) via BRIN indexing, without adding hardware
ā¢ šš% primary CPU reduction via read replica optimization, WAL tuning, and PgBouncer connection pooling
ā¢ šš% database load reduction by eliminating inefficient API-generated query patterns
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ā¢ PostgreSQL Performance & Diagnostic Audits
ā¢ Query Optimization (pg_stat_statements, EXPLAIN ANALYZE)
ā¢ Indexing Strategy (B-tree, BRIN, Partial & Covering Indexes)
ā¢ Vacuum, Bloat & WAL Analysis
ā¢ Replication, High Availability & Patroni
ā¢ PgBouncer Connection Pooling
ā¢ Backup & Disaster Recovery (pgBackRest, PITR)
ā¢ AWS RDS & Aurora PostgreSQL Optimization
ā¢ NestJS, TypeORM & Prisma Performance Reviews
ā¢ pgvector Performance for AI/RAG Workloads
šš¼š š šŖš¼šæšø
Every engagement begins with a fixed-scope Diagnostic Audit.
ā Read-only review of PostgreSQL metrics and workload (no production changes)
ā Analysis of query performance, bloat, checkpoints, replication, WAL, and system health
ā Prioritized findings ranked by business impact and implementation effort
ā Clear execution plan with practical recommendations
ā Optional implementation support or review of your team's work
I scope projects carefully. If an engagement requires schema redesign, application refactoring, or work outside my expertise, I'll communicate that early and collaborate with appropriate specialists when needed.
Whether you need a production health audit, performance tuning, high availability, disaster recovery planning, or emergency troubleshooting, my goal is the same: deliver measurable improvements with minimal risk.
If your PostgreSQL environment is becoming slower, more expensive, or increasingly difficult to operate, send me a message describing your biggest challenge ā or share an EXPLAIN ANALYZE plan, pg_stat_statements report, or pg_stat_activity snapshot. I'll help identify the highest-impact improvements and explain why they matter.
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ā¢ Hourly or fixed-price engagements
ā¢ Diagnostic audits & implementation support
ā¢ US East Coast & EU business hours
ā¢ NDA-friendly
ā¢ Typically available to start within one week
Steps for completing your project
After purchasing the project, send requirements so Waqas can start the project.
Delivery time starts when Waqas receives requirements from you.
Waqas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Access Setup
Review your environment details. Set up secure read-only database connection. Identify your top 5 most critical queries or features.
Query & Index Analysis
Analyze pg_stat_statements for slowest queries. Run EXPLAIN ANALYZE on critical queries. Review index usage, bloat levels, and vacuum health.