You will get AWS ETL Pipeline Setup
Project details
Need a reliable, automated ETL pipeline that transforms your data accurately and runs without constant oversight? This project is designed to give you a clean, scalable workflow built using AWS best practices.
I’m an AWS Data Engineer and former Amazon BI Engineer with years of experience designing ETL pipelines, data validation frameworks, and monitoring systems for high-volume, business-critical environments. I focus on building pipelines that are not only functional, but trustworthy, observable, and easy to maintain.
Your project includes full data transformation logic, automated scheduling, robust data quality checks, and monitoring or alerting so you always know when something needs your attention. I use AWS Glue, Python, Redshift, S3, and other AWS services to deliver a clean end-to-end workflow aligned with your requirements.
What sets this project apart is the emphasis on data correctness, operational visibility, and long-term reliability—not just getting a pipeline to run, but ensuring it continues to run well.
If you want clean, dependable data and a workflow you can trust, this project delivers exactly that.
I’m an AWS Data Engineer and former Amazon BI Engineer with years of experience designing ETL pipelines, data validation frameworks, and monitoring systems for high-volume, business-critical environments. I focus on building pipelines that are not only functional, but trustworthy, observable, and easy to maintain.
Your project includes full data transformation logic, automated scheduling, robust data quality checks, and monitoring or alerting so you always know when something needs your attention. I use AWS Glue, Python, Redshift, S3, and other AWS services to deliver a clean end-to-end workflow aligned with your requirements.
What sets this project apart is the emphasis on data correctness, operational visibility, and long-term reliability—not just getting a pipeline to run, but ensuring it continues to run well.
If you want clean, dependable data and a workflow you can trust, this project delivers exactly that.
Database Type
MySQL, PostgreSQLWhat's included $250
These options are included with the project scope.
$250
- Delivery Time 2 days
- Number of Revisions 2
- Number of Tables Added 2
Frequently asked questions
About Dan
AWS Data Engineer | ETL, Redshift, Glue, QuickSight (Ex-Amazon)
Saginaw, United States - 4:39 pm local time
I specialize in:
AWS Data Engineering: Redshift, Glue, S3, Lambda, IAM, EventBridge, CloudFormation/IaC
ETL Pipeline Development: building, optimizing, and automating end-to-end workflows
Dashboarding & Reporting: QuickSight, Power BI, and custom Python reporting solutions
Python & SQL Engineering: data cleaning, transformations, schema design, API ingestion
Data Architecture & Security: best practices for reliability, compliance, and scalability
I’ve built dashboards used by scientists, managers, and regional leaders—turning raw, messy data into clear insights that teams rely on daily. Whether you need a full AWS data environment built from scratch, a streamlined ETL pipeline, or dashboards that eliminate manual reporting, I can help you build a reliable and scalable foundation.
My goal on every project: deliver clean, efficient, well-documented data systems that save you time, reduce complexity, and unlock actionable insights.
Let’s build something great together.
Steps for completing your project
After purchasing the project, send requirements so Dan can start the project.
Delivery time starts when Dan receives requirements from you.
Dan works on your project following the steps below.
Revisions may occur after the delivery date.
Scoping & Access
I will confirm project requirements, clarify scope, and verify that all necessary AWS access and permissions are in place before development begins.
Pipeline Design & Development
I will build the ETL pipeline based on your requirements, create the necessary data transformations, and set up automated workflows so your data processes run smoothly.