You will get AWS Serverless Data Pipeline Python ETL & Validation for Manufacturing Logs
Project details
I design and deploy robust Serverless Data Automation Pipelines using Python and AWS Lambda. This is a high-value ETL (Extract, Transform, Load) solution for engineers and businesses needing to move beyond manual log processing.
My service focuses on turning messy internal data (CSV, Excel, JSON logs) into validated, clean, and standardized assets stored securely in the cloud. I specialize in the Transformation phase: writing scalable Python scripts that perform advanced cleanup, merging multiple sources, and applying conditional validation logic (e.g., flagging manufacturing sensor readings outside acceptable ranges).
Tiered Solution: Choose from three levels of service:
Script & Logic: Custom Python validation code only.
Pipeline Blueprint: Full ETL design, including S3 trigger and Lambda function structure.
Full Deployment: End-to-end setup in your AWS account for 100% hands-off automation with customized alert notifications.
I ensure maximum reliability and speed by leveraging the latest AI technology in every project.
Transform your raw data into actionable intelligence.
My service focuses on turning messy internal data (CSV, Excel, JSON logs) into validated, clean, and standardized assets stored securely in the cloud. I specialize in the Transformation phase: writing scalable Python scripts that perform advanced cleanup, merging multiple sources, and applying conditional validation logic (e.g., flagging manufacturing sensor readings outside acceptable ranges).
Tiered Solution: Choose from three levels of service:
Script & Logic: Custom Python validation code only.
Pipeline Blueprint: Full ETL design, including S3 trigger and Lambda function structure.
Full Deployment: End-to-end setup in your AWS account for 100% hands-off automation with customized alert notifications.
I ensure maximum reliability and speed by leveraging the latest AI technology in every project.
Transform your raw data into actionable intelligence.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, DesignWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 5 days | 7 days | 10 days |
Number of Revisions | 2 | 3 | 4 |
Number of Sources Mined/Scraped | 1 | 3 | 10 |
Install Script | - | ||
Test Script | |||
Task Automation | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$250
Additional Revision
+$150
Additional Source Mined/Scraped
(+ 1 Day)
+$300
Install Script
(+ 1 Day)
+$400
Task Automation
(+ 2 Days)
+$650About Sebastian
Full-Stack Python Engineer | Systems Automation, & Data Visualization
Kirkland, United States - 10:12 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).
✅ 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 & Credential Initiation (Client Action):
Client submits the sample data and detailed validation/cleanup rules (Requirement Questions). (Tier 3 only): Client provides the necessary temporary IAM credentials (read-only access to S3, deployment access to Lambda/SNS) for secure deployment
Development, Testing & Code Review:
I write the custom Python script with AI validation of work and formatting. The script is deployed to a staging environment (or tested locally) to confirm the validation and cleanup logic works perfectly against the sample data.