You will get a custom Python automated financial reconciliation and audit engine
Project details
Corporate accounting departments lose thousands of hours every year manually attempting to match payment gateway payouts with bank statements and internal database logs, relying on Excel spreadsheets and VLOOKUP functions to reconcile millions of financial transactions is a massive operational vulnerability that eventually leads to crashed software and undetected missing funds.
I engineer automated financial reconciliation engines in Python using advanced vectorized libraries like Pandas to process massive ledgers in seconds, we do not rely on humans staring at rows of numbers. I build the architectural backend that ingests data from multiple isolated sources, normalizes the formatting, and executes rigorous matching algorithms to find the exact discrepancies down to the cent, whether you are dealing with complex currency conversions, delayed bank settlement dates, or orphaned transactions from a broken API, i provide the automated mathematical infrastructure to guarantee your corporate ledgers are perfectly balanced every single night without human intervention.
I engineer automated financial reconciliation engines in Python using advanced vectorized libraries like Pandas to process massive ledgers in seconds, we do not rely on humans staring at rows of numbers. I build the architectural backend that ingests data from multiple isolated sources, normalizes the formatting, and executes rigorous matching algorithms to find the exact discrepancies down to the cent, whether you are dealing with complex currency conversions, delayed bank settlement dates, or orphaned transactions from a broken API, i provide the automated mathematical infrastructure to guarantee your corporate ledgers are perfectly balanced every single night without human intervention.
Programming Languages
JavaScript, Python, JavaCoding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$600
|
Standard
$1,800
|
Advanced
$4,500
|
|---|---|---|---|
| Delivery Time | 5 days | 14 days | 25 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 - 1:12 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.
Financial Data Normalization
I write the ingestion logic to standardize dates, floating-point currencies, and transaction IDs across completely different platforms so the data can actually be compared mathematically.
Vectorized Matching Engine
I code the core Pandas architecture that executes exact and fuzzy matching logic across millions of rows identifying matching pairs and isolating missing records instantly.