Looking for a professional data engineer to build scalable, reliable, and cloud-based ETL pipelines?

I will design and develop end-to-end Data Engineering ETL pipelines using AWS, Azure, and Google Cloud Platform (GCP). Whether you need data ingestion, transformation, storage, or automation, I can deliver production-ready data workflows optimized for performance and scalability.

My focus is on clean architecture, automated workflows, and efficient data processing across cloud environments.

Services Included

ETL Pipeline Development

✓ Data Extraction from APIs, Databases, Files

✓ Data Cleaning & Transformation

✓ Data Loading into Data Warehouses

✓ Batch & Real-Time Data Pipelines

✓ Data Validation & Quality Checks

✓ Scalable Pipeline Architecture

Cloud Platforms

AWS

✓ AWS Glue ETL Jobs

✓ AWS Lambda Functions

✓ S3 Data Storage

✓ Redshift Data Warehousing

✓ EC2-Based Processing

Microsoft Azure

✓ Azure Data Factory (ADF) Pipelines

✓ Azure Functions

✓ Azure Data Lake Storage

✓ Azure Synapse Analytics

✓ Event-Driven Pipelines

Google Cloud Platform (GCP)

✓ BigQuery Data Pipelines

✓ Cloud Dataflow

✓ Cloud Storage Integration

✓ Pub/Sub Streaming Pipelines

✓ Cloud Functions Automation

Data Engineering Features

✓ Data Warehousing Design

✓ Data Pipeline Scheduling

✓ Workflow Automation

✓ Incremental Data Processing

✓ Logging & Monitoring Setup

✓ Error Handling & Retry Systems

Supporting Technologies

✓ Python (Pandas, PySpark)

✓ SQL (MySQL, PostgreSQL, BigQuery)

✓ Apache Airflow (Optional Orchestration)

✓ Docker (Basic Deployment)

✓ REST API Integration

Deliverables

✓ Fully Working ETL Pipeline Code

✓ Cloud Deployment Setup

✓ Data Transformation Scripts

✓ Pipeline Architecture Diagram

✓ Documentation Report

✓ Testing & Validation Results

Why Choose Me?

✓ Expertise in Multi-Cloud Data Engineering

✓ Strong ETL & Pipeline Design Skills

✓ Scalable & Production-Ready Solutions

✓ Clean and Optimized Code

✓ Fast Communication

✓ Reliable Delivery

✓ Client Satisfaction Focused

I help businesses and researchers build powerful cloud-based data pipelines that automate data processing and enable better decision-making.

Packages

Basic Package – $60

Simple ETL Pipeline

Single Cloud (AWS / Azure / GCP)

Basic Data Transformation

1 Revision

Standard Package – $180

Medium Complexity Pipeline

Multi-Step ETL Workflow

Cloud Deployment + Documentation

2 Revisions

Premium Package – $600

Full Scalable Data Engineering System

Multi-Cloud Architecture

Automation + Monitoring Setup

Unlimited Revisions

Buyer Requirements

Please provide:

Data Source Details

Target Database / Warehouse

Preferred Cloud Platform (AWS / Azure / GCP)

Volume of Data

Transformation Requirements

Workflow Frequency (Batch/Real-time)

Deadline

Reference Architecture (if any)