I will set up AWS data engineering pipelines and etl workflows fast
Expert Python, AI DevOps Engineer Clean, Reliable Solutions
Level 1
Has met certain performance criteria and shows strong potential in the marketplace.
About this Gig
Need a reliable AWS data engineering pipeline without overcomplicated architecture?
You get a clean, scalable AWS data pipeline and ETL workflow built specifically for your use case. Whether you need AWS Glue ETL, Lambda data processing, S3 data lake setup, or Redshift ingestion, your workflow will be structured, automated, and production-ready.
This gig is ideal if you're starting a cloud data platform, fixing a broken pipeline, or migrating to AWS. Youll receive a practical data engineering solution that moves, transforms, and loads data efficiently while keeping costs optimized. I focus on simple architecture using the right services such as AWS Glue, Lambda, Step Functions, EventBridge, S3, Athena, and Redshift.
What you can expect:
- AWS ETL pipeline setup
- Data ingestion from APIs, databases, CSV, or S3
- Scheduled data workflows
- Data transformation logic
- Error handling and monitoring
- Scalable architecture for future growth
- Clean documentation
Perfect for analytics, dashboards, machine learning pipelines, or data warehousing.
100% satisfaction or revisions until you're happy.
Message me before ordering so your AWS pipeline is built correctly the first time.
My Portfolio
FAQ
What AWS services do you use?
Depends on your needs, commonly S3, Glue, Lambda, Redshift, Step Functions.
Do I need AWS account ready?
Yes, you provide access. I guide you if setup is needed.
Can you fix an existing pipeline?
Yes, optimization and debugging are included.
Will this scale later?
Yes, pipelines are built modular for future growth.

