You will get a custom Python ETL pipeline for public data aggregation
Project details
Corporate data infrastructure relies on stable and compliant ETL pipelines to function properly, most businesses struggle to aggregate fragmented public data sources into a centralized analytics dashboard, i engineer robust Python architectures that automate the extraction, transformation, and loading of publicly available datasets directly into your internal databases or CRMs. We are talking about institutional data engineering using pandas, REST APIs, and automated routing logic
I build the foundational backend that processes raw information, standardizes the formatting, and delivers clean JSON or SQL payloads without human intervention, if your operations team is wasting time manually downloading reports and moving CSV files around, i will build the automated infrastructure to eliminate that bottleneck completely.
I build the foundational backend that processes raw information, standardizes the formatting, and delivers clean JSON or SQL payloads without human intervention, if your operations team is wasting time manually downloading reports and moving CSV files around, i will build the automated infrastructure to eliminate that bottleneck completely.
Programming Languages
Python, Java, GoCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$450
|
Standard
$1,450
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
Install Script | - | ||
Test Script | |||
Task Automation | - |
Frequently asked questions
About Eduardo
Senior Anti-Bot Automation Engineer & Quant Developer (Python/C++)
Divinopolis, Brazil - 2:10 pm local time
I am a Systems Engineer specialized in high-level automation and quantitative trading. I don't just write scripts. I build resilient, stealthy, and industrial-grade architectures. When it comes to anti-bot bypass and enterprise web extraction, I engineer custom headless browser stealth using Playwright, Puppeteer, and Selenium. I routinely reverse-engineer WebGL, Canvas, and WebRTC fingerprints. To bypass strict Datadome, PerimeterX, or Akamai checks, I deploy kernel-level hardware injection like virtual V4L2loopback devices. This allows complex DOM parsing and CAPTCHA circumvention for massive B2B data pipelines.
On the financial engineering side, I develop fail-safe Expert Advisors using C++ for MT4 and MT5. My algorithmic trading architectures rely heavily on Smart Money Concepts. I map liquidity sweeps, order blocks, and multi-timeframe price action entirely without lagging indicators. I also implement stealth trade management to hide stop losses and take profits from brokers, preventing virtual stop-outs. This includes real-time WebSockets integration and OS-level memory reading for dynamic web brokers. I only take on complex, high-value challenges. If your current bot is getting blocked or if you need a bulletproof financial engine ready to protect real capital, let's discuss your target and scale.
"At 6, I disassembled toys to understand their mechanics, by 12, I was captivated by the intersection of art and mathematics. I see the micro and macro connections like a musical arrangement, to me, everything is a grand opera; a harmony that makes my eyes shine."
Steps for completing your project
After purchasing the project, send requirements so Eduardo can start the project.
Delivery time starts when Eduardo receives requirements from you.
Eduardo works on your project following the steps below.
Revisions may occur after the delivery date.
Architecture and Public Feed Analysis
We start by mapping your target public data feeds and structuring the optimal ingestion logic. This phase ensures all data extraction complies with standard API rate limits and structural requirements.
Core Python ETL Engineering
I write the backend infrastructure that connects to the public sources and retrieves the raw data. The script handles standard network responses and formats the unstructured text into readable formats.