You will get Investment Data Engineering: ETL & API Integration for Financial Modeling
Project details
As a Seattle Real Estate professional, I understand that data is the lifeblood of profitability. Stop wasting hours manually compiling comps, tax metrics, and market statistics. I build custom Python Data Aggregation Tools designed for real estate investors, developers, and property managers.
This service delivers an automated, reusable Python script that systematically mines, cleans, and standardizes data from multiple public sources (e.g., public listings, tax databases) and presents it in a unified, analysis-ready format (CSV, Excel, or JSON). This automation allows you to quickly calculate crucial metrics like Cap Rate, Cash Flow, and ROI with precision.
I ensure the script is reliable, scalable, and fully compliant with ethical data scraping guidelines. Development is accelerated using AI Tools for efficient, error-checked code.
Choose from:
Single-Source Scraper: Great for a one-time clean of a single data set (e.g., rental comps from one site).
Multi-Source Aggregator: Combines and cleans data from 3+ distinct sources, reconciling differences.
Web-Hosted Automation: The full solution—a scheduled tool that runs weekly and automatically sends market reports via email.
This service delivers an automated, reusable Python script that systematically mines, cleans, and standardizes data from multiple public sources (e.g., public listings, tax databases) and presents it in a unified, analysis-ready format (CSV, Excel, or JSON). This automation allows you to quickly calculate crucial metrics like Cap Rate, Cash Flow, and ROI with precision.
I ensure the script is reliable, scalable, and fully compliant with ethical data scraping guidelines. Development is accelerated using AI Tools for efficient, error-checked code.
Choose from:
Single-Source Scraper: Great for a one-time clean of a single data set (e.g., rental comps from one site).
Multi-Source Aggregator: Combines and cleans data from 3+ distinct sources, reconciling differences.
Web-Hosted Automation: The full solution—a scheduled tool that runs weekly and automatically sends market reports via email.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$550
|
Standard
$950
|
Advanced
$1,700
|
|---|---|---|---|
| Delivery Time | 4 days | 6 days | 9 days |
Number of Pages Mined/Scraped | 100 | 300 | |
Number of Sources Mined/Scraped | 1 | 3 | |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$180
Additional Source Mined/Scraped
(+ 1 Day)
+$350
Additional Revision
+$100
Data Visualization Dashboard
(+ 1 Day)
+$450
Continuous Maintenance (30 Days)
+$600Frequently asked questions
About Sebastian
Full-Stack Python Engineer | Systems Automation, & Data Visualization
Kirkland, United States - 8:21 pm local time
I am a Full-Stack Python Engineer and Systems Automation specialist. I am fully fluent in both Spanish and English, allowing me to serve a global clientele. My engineering foundation, built on mechanical rigor and maximizing operational efficiency, translates directly to reliable code and robust data systems.
¡Hablo español con fluidez! Me especializo en la automatización de datos (AWS/Python) y el desarrollo de estrategias FinTech/PropTech para clientes internacionales.
I specialize in the intersection of data, engineering, finance, and real estate, building custom, full-stack applications for traders, investors, and PropTech/FinTech companies. My focus is delivering mechanically reliable systems for a lasting market advantage. I bring 4 years of hands-on experience in algorithmic trading and complex system resilience.
🎯 Quantified Performance & Results
My solutions are designed for demonstrable ROI—I focus on systems that minimize risk and maximize returns:
System Efficiency: Reduced data processing time for sensor data by 70% (under 3 seconds per ingestion) using optimized AWS Lambda pipelines.
Reliability: Achieved a 95% accuracy rate in machine learning-driven anomaly detection, contributing to an estimated 30% reduction in machine downtime.
Workflow Optimization: Reduced client manual data entry by 10 hours per week and increased reporting speeds by 200% via custom automation scripts.
Trading Strategy: Consistently produced positive RRR and Alpha, while effectively tracking and mitigating drawdown for virtual machine trading systems.
🛠️ Technical Expertise & Solutions
I provide focused solutions across high-demand domains, utilizing Gemini and GitHub Copilot assistance for faster, cleaner results.
Cloud & Data Engineering
AWS Lambda architecture for scalable data processing and serverless deployment.
Full-Stack Python development (Django/Flask) and robust ETL processes.
FinTech & Quantitative Development
Pine Script v5 expertise for customized high-frequency execution logic, indicators, and alerts.
Integration of Machine Learning (ML) for predictive analytics, backtesting, and automated decision-making.
PropTech & Investment Analysis
Automating Comparable Market Analysis (CMA) and building detailed rental yield projection models.
Custom scraping and analysis of listing data to identify unique investment opportunities.
Engaging Data Visualization interfaces and reliable web/desktop applications (Vue.js, HTML/CSS).
âś… Professional Standards & Workflow
I prioritize seamless remote collaboration and high-quality deliverables:
Communication: I prefer prompt email communication and flexible video calls from 8 AM to 7 PM (PST) to align with client schedules.
Code Quality: API documentation and clean, professional inline comments are guaranteed for all codebases.
Tools: Proficient use of GitHub for version control and Google Suite/Canva for project management and client-facing materials.
Certifications: Certified in Machine Learning, Data Analysis, and Python Programming (Programming Hub).
Steps for completing your project
After purchasing the project, send requirements so Sebastian can start the project.
Delivery time starts when Sebastian receives requirements from you.
Sebastian works on your project following the steps below.
Revisions may occur after the delivery date.
Scope & API Key Submission (Client Action):
Client defines the final reporting schema (fields needed for modeling). Client submits any necessary API Keys or credentials for authorized data sources (e.g., MLS API, paid data vendor).
Development, ETL & Testing (My Action):
I develop the compliant Python ETL script focusing on the Transformation and Load steps. The script is tested against the API/sample data to ensure 100% compliance with the output schema and validation rules.