I will build AWS etl data pipelines for analytics and reporting
Embedded Systems, IoT and AWS Data Solutions Engineer
About this Gig
I will build reliable AWS ETL data pipelines to help you move, clean, process and prepare data for analytics, reporting, dashboards or business use.
This gig is suitable if your data is coming from files, databases, APIs, applications or IoT systems and you want to process it using AWS services.
I can help with:
- Data ingestion from files, APIs, databases, or applications
- AWS ETL/ELT pipeline development
- Amazon S3 data lake setup
- AWS Glue or EMR/Spark processing
- Redshift or Athena analytics output
- Data cleaning and transformation
- Basic data quality checks and logging
- CSV, JSON, Parquet, or database extract processing
- Documentation and handover instructions
Common use cases:
- Move raw data into S3
- Build an ETL pipeline for reporting
- Prepare data for dashboards
- Create analytics-ready datasets
- Improve an existing AWS pipeline
- Connect application or IoT data to AWS analytics services
Please message before ordering so we can confirm your data source, AWS services, expected output, access requirements, and the right package for your scope.
FAQ
Do I need to provide AWS access?
For development work, limited AWS access is usually required. If you prefer, we can first review your architecture, sample data, screenshots, or documentation before access is shared.
Can you work with my existing AWS pipeline?
Yes. I can improve, fix, extend or rebuild an existing AWS ETL/data pipeline depending on the current setup and selected package.
Which AWS services can you work with?
I can work with AWS services commonly used in data engineering, including S3, Glue, EMR/Spark, Lambda, Redshift, Athena, RDS, DMS, Airflow/MWAA, EventBridge, SQS, SNS, EC2, API Gateway or any other related services.
Can you build a complete data lake?
Yes. I can help build S3-based raw, processed, and analytics-ready layers with ETL pipelines, cataloging, documentation, data quality checks, security, and governance. I also have enterprise-level AWS data platform experience, so the scope can be adjusted to your needs.
Can you connect API, application, or IoT data to AWS?
Yes. I can help ingest API, application, device or IoT data into AWS and prepare it for storage, analytics, reporting, or dashboards.
Will you provide code and documentation?
Yes. Delivery can include code, configuration notes, run instructions and documentation based on the selected package.
Can you optimize cost and performance?
Yes. I can review processing logic, file formats, partitioning, Redshift/Athena usage, Spark configuration and pipeline structure to suggest or apply improvements.
Should I message before placing an order?
Yes, please message first so we can confirm your data source, AWS services, expected output, access requirements and the best package for your scope.

