Professional Data Engineering

Data Engineer

Web Automation & Extraction | Full-Stack Technical Operations

Building robust data processing systems with expertise across the full lifecycle: Design, Build, Deploy, Monitor, Maintain, and Secure.

100M+
Records Processed
50+
Data Pipelines Built
99.9%
System Uptime
24/7
Monitoring

Data Processing Capabilities

Full lifecycle data engineering expertise from design to deployment, monitoring, and security

System Design

Architecture planning, data modeling, and scalable system design for robust data processing infrastructure

Pipeline Development

ETL/ELT pipeline engineering, workflow automation, and real-time data processing systems

Production Deployment

Cloud infrastructure deployment, containerization, and scalable system implementation on AWS/GCP/Azure

Performance Monitoring

Real-time metrics, alerting systems, and comprehensive logging for 24/7 system health tracking

System Maintenance

Ongoing optimization, troubleshooting, and performance tuning to ensure reliable operation

Security Implementation

Data encryption, access control, compliance (GDPR/CCPA), and security best practices

Data Engineering Lifecycle

Full lifecycle approach to building robust data processing systems

01

Design

Requirements analysis, architecture planning, and data modeling to create scalable system blueprints.

02

Build

Development of ETL/ELT pipelines, web automation scripts, and data processing workflows using modern frameworks.

03

Deploy

Production deployment to cloud infrastructure (AWS/GCP/Azure) with containerization and CI/CD pipelines.

04

Monitor

Real-time performance tracking, alerting systems, and comprehensive logging for 24/7 system health monitoring.

05

Maintain

Ongoing optimization, troubleshooting, and performance tuning to ensure reliable and efficient operation.

06

Secure

Implementation of security best practices, data encryption, access control, and compliance measures.

Technical Capabilities

Comprehensive data engineering and automation solutions for modern data infrastructure

⚙️

Data Pipeline Engineering

Design and build scalable ETL/ELT pipelines for batch and real-time data processing

  • ETL/ELT development
  • Stream processing
  • Workflow orchestration
  • Data transformation
🤖

Web Automation & Scraping

Custom web scraping solutions and browser automation for data extraction at scale

  • Custom web scrapers
  • API integration
  • Browser automation
  • Anti-bot strategies
☁️

Cloud Infrastructure

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

  • Cloud deployment
  • Docker & Kubernetes
  • CI/CD pipelines
  • Infrastructure as Code
🗄️

Database Engineering

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

  • Database design
  • Query optimization
  • PostgreSQL & MongoDB
  • Data warehousing

Ready to Build Robust Data Processing Systems?

Get started with professional data engineering services that deliver scalable, reliable, and secure data infrastructure