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You will get a Polars-optimized Python pipeline to eliminate memory crashes

Roy T.Status: Offline
Roy T.
Preview image

Let a pro handle the details

Buy Database Optimization & Design services from Roy, priced and ready to go.
Roy T.Status: Offline
Roy T.
Preview image

Let a pro handle the details

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

Project details

Are your Azure Container Apps crashing due to "Out of Memory" (OOM) errors? I provide specialized performance refactoring to migrate your critical Python workflows from Pandas to Polars. By leveraging the Polars Lazy API and Rust-based execution engine, I significantly reduce memory footprints and execution times—often by 80% or more—without breaking your existing downstream logic. Stop overpaying for cloud compute and start running production-grade, resource-optimized pipelines.
What's included
Service Tiers Starter
$350
Standard
$1,200
Advanced
$2,500
Delivery Time 3 days 5 days 10 days
Number of Revisions
123
Schema Diagram
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Permissions Setup
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Import/Export Data
Admin Panel Setup
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Optional add-ons You can add these on the next page.
Automated Unit Testing (+ 2 Days)
+$300

Frequently asked questions

Roy T.Status: Offline

About Roy

Roy T.Status: Offline
Azure Data Engineer | Polars & High-Performance Python Pipelines
Los Angeles, United States - 1:15 pm local time
I specialize in building high-performance, cost-efficient data systems from the ground up on Azure for startups. With 6 years of professional experience, I help teams refactor memory-heavy Pandas workflows into optimized Polars architectures, specifically designed for resource-constrained environments like Azure Container Apps.

Core Expertise:
- Azure Stack: End-to-end implementation of Azure SQL Server, Logic Apps, and Container Apps (secured via Key Vault), deployed via Azure DevOps.

- Performance Engineering: Transitioning legacy pipelines to Polars Lazy API to reduce cloud spend and eliminate OOM errors.

- Interoperability: Delivering optimized logic that remains compatible with your team's existing Pandas-based workflows.

- Data Integrity: Designing observable pipelines with advanced SQL performance tuning.

I prioritize production-grade reliability and systemic trust over quick, brittle scripts. Let’s discuss how we can optimize your data infrastructure for scale and stability.

Steps for completing your project

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

Delivery time starts when Roy receives requirements from you.

Roy works on your project following the steps below.

Revisions may occur after the delivery date.

Architecture Review & Discovery

I analyze your current Python script, data sources, and Azure environment to identify the exact memory bottlenecks.

Polars Refactor & Optimization

I rewrite the transformation logic using Polars, implementing lazy evaluation and surgical memory management.

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