You will get a PostgreSQL performance audit with actionable optimization plan

Marcin G.Status: Offline
Marcin G.

Let a pro handle the details

Buy Database Optimization & Design services from Marcin, priced and ready to go.
Marcin G.Status: Offline
Marcin G.

Let a pro handle the details

Buy Database Optimization & Design services from Marcin, priced and ready to go.

Project details

Your PostgreSQL database is slow, eating disk, or throwing deadlocks - and you need someone who's fixed this before, not someone who'll learn on your dime.

I've cut query execution time by 70% for Pfizer's supply chain analytics, eliminated chronic deadlocks and 250 GB/day WAL overconsumption, and resolved a €2.5M inventory discrepancy by cross-referencing enterprise databases.

You'll get a prioritized audit report, implemented fixes (on Standard/Advanced tiers), and measurable before/after metrics - not a list of vague recommendations.
Database Type
PostgreSQL
What's included
Service Tiers Starter
$149
Standard
$349
Advanced
$699
Delivery Time 3 days 7 days 14 days
Number of Revisions
123
Schema Diagram
Permissions Setup
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-
Import/Export Data
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-
-
Admin Panel Setup
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-
Optional add-ons You can add these on the next page.
Additional Revision
+$30

Frequently asked questions

Marcin G.Status: Offline

About Marcin

Marcin G.Status: Offline
Senior Data Engineer | Performance Optimization | ETL & Data Pipelines
Warszawa, Poland - 10:12 am local time
Slow queries, bloated pipelines, and databases that can't scale under load – these are the problems I fix. I've cut PostgreSQL query execution time by 70% for Pfizer's supply chain analytics, resolved a €2.5M inventory discrepancy in 3 weeks by cross-referencing enterprise databases, and eliminated chronic deadlocks and runaway WAL growth (250+ GB/day) in PostgreSQL setup that was eating infrastructure budget alive.

What sets me apart is that I don't just write code - I solve hard technical problems and deliver measurable results:

→ Optimized Pfizer's data processing engine, cutting execution time by 70% across their pharma supply chain analytics stack (PostgreSQL + Snowflake + dbt on Azure)
→ Built distributed backend for a Web3 analytics platform: 14 BullMQ queues processing thousands of events daily across 6 servers, with 250+ GB/day WAL reduction through surgical PostgreSQL optimization
→ Resolved a €2.5M inventory discrepancy between DHL and a client ERP in 3 weeks by cross-referencing databases and mapping process gaps
→ Delivered the fastest ERP implementation per vendor with the smallest team - the vendor sent congratulations
→ Built production AI agent (RAG + ReAct pattern) with 10 tools, pgvector search, and WebSocket streaming for real-time crypto intelligence
→ Shipped Solana programs (Rust/Anchor), EVM smart contracts (Solidity), and full-stack blockchain integrations

My enterprise clients (Pfizer, Orange Polska, Procter & Gamble, Ministry of Health) kept choosing to work with me - through vendor changes, team rotations, and budget cuts. I'm the person clients ask to keep.

Tech I work with daily: TypeScript, Node.js, Fastify, tRPC, NestJS, PostgreSQL, TimescaleDB, Snowflake, dbt, Drizzle ORM, Redis, BullMQ, Solidity, Ethers.js, Solana/Anchor, Python, OpenAI/Gemini APIs, Docker, GitHub Actions.

I'm available for backend development, data pipeline architecture, database design & optimization (PostgreSQL, Snowflake, TimescaleDB, dbt), blockchain integrations (Solidity, Solana/Rust), and AI-powered features (RAG, LLM APIs, embeddings). I work independently, communicate clearly, and ship fast.

Steps for completing your project

After purchasing the project, send requirements so Marcin can start the project.

Delivery time starts when Marcin receives requirements from you.

Marcin works on your project following the steps below.

Revisions may occur after the delivery date.

Review

Review your PostgreSQL config, logs, and pg_stat_statements output

Identify bottlenecks

slow queries, lock contention, index issues, WAL bloat

Review the work, release payment, and leave feedback to Marcin.