Data Engineering Project Portfolio

Specialized data engineering projects delivering production-grade systems. From ETL pipeline development and web automation to cloud infrastructure and database engineering.

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Project Types

Data engineering projects I excel at delivering with precision and expertise

⚙️

ETL/ELT Pipeline Development

Build scalable data pipelines for batch and real-time processing with proper monitoring and error handling.

  • Batch processing workflows
  • Real-time stream processing
  • Data transformation logic
  • Workflow orchestration (Airflow)
🤖

Web Scraping & Automation

Custom web scrapers and browser automation solutions for reliable data extraction at scale.

  • Custom scraper development
  • Browser automation (Selenium/Playwright)
  • Anti-bot bypass strategies
  • Distributed scraping systems
☁️

Cloud Infrastructure Deployment

Deploy and manage scalable cloud infrastructure on AWS, GCP, or Azure with containerization.

  • AWS/GCP/Azure deployment
  • Docker & Kubernetes setup
  • CI/CD pipeline configuration
  • Infrastructure as Code (Terraform)
🗄️

Database Design & Optimization

Design, optimize, and manage databases for high-performance data storage and retrieval.

  • Database schema design
  • Query optimization
  • PostgreSQL/MongoDB setup
  • Data migration & backups
🔗

API Development & Integration

Build RESTful APIs and integrate with third-party services for seamless data flow.

  • FastAPI/Node.js development
  • Third-party API integration
  • Authentication & authorization
  • API documentation
📊

Data Quality & Monitoring

Implement data validation frameworks and monitoring systems for reliable data operations.

  • Data validation frameworks
  • Quality metrics & alerts
  • Performance monitoring
  • Error tracking & logging
🔄

System Migration & Modernization

Migrate legacy systems to modern architectures with minimal downtime and data integrity.

  • Legacy system migration
  • Database migration
  • Cloud migration (on-prem to cloud)
  • Zero-downtime deployment
🚀

Full-Stack Application Development

Build complete web applications with modern frameworks, from frontend to backend and database.

  • React/Next.js frontend
  • FastAPI/Node.js backend
  • Database integration
  • Deployment & hosting

Technical Capabilities

Organized by technical domain

⚙️

Data Pipeline Engineering

ETL/ELT pipelines, stream processing, and workflow orchestration for scalable data processing

Python/PySparkApache AirflowKafka/Kinesis
🤖

Web Automation

Custom web scrapers and browser automation for reliable data extraction

SeleniumPlaywrightScrapyCrawlee
☁️

Cloud Infrastructure

Deploy and manage scalable cloud infrastructure with containerization

AWS/GCPDocker/K8sTerraform
🗄️

Database Engineering

Design, optimize, and manage databases for high-performance storage

PostgreSQLMongoDBRedis

Project Highlights

Key capabilities that set our projects apart

01

Production-Grade Quality

Enterprise-level code with proper testing, monitoring, and documentation

02

Scalable Architecture

Systems designed to handle growth from thousands to millions of records

03

99.9% Uptime

Reliable systems with comprehensive monitoring and automated recovery

04

Modern Tech Stack

Latest frameworks and best practices for efficient development

05

Security First

Data encryption, access control, and compliance built-in

06

Full Lifecycle Support

From design through deployment, monitoring, and maintenance

Ready to Build Your Data Engineering Solution?

Let's discuss your technical requirements and create a production-grade system