You will get Build AWS Serverless ETL Pipeline Using Lambda and Python
Project details
I will build a fully automated, serverless ETL pipeline using AWS Lambda, S3, and Python. Whenever a raw CSV file is uploaded to S3, the pipeline triggers a Lambda function that cleans the data (removes nulls, standardizes date formats, adds unique IDs) and saves it in a cleaned S3 bucket.
The solution is deployed using AWS CloudFormation and integrated with GitHub Actions for CI/CD. You also have the option to include features like SNS alerts, Athena queries, and Glue catalog integration for reporting and querying.
This is ideal for anyone looking to automate data cleaning and streamline their data processing workflows using scalable, cloud-native tools.
The solution is deployed using AWS CloudFormation and integrated with GitHub Actions for CI/CD. You also have the option to include features like SNS alerts, Athena queries, and Glue catalog integration for reporting and querying.
This is ideal for anyone looking to automate data cleaning and streamline their data processing workflows using scalable, cloud-native tools.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$150
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Optional add-ons
You can add these on the next page.
Add unit tests and validation
(+ 1 Day)
+$40
Deploy to Client’s AWS Account
(+ 1 Day)
+$60
Convert CSV to Parquet
(+ 1 Day)
+$20Frequently asked questions
About Aman Rao
Python Developer | DevOps Automation, ETL Pipelines Support
Depalpur, India - 1:35 am local time
I specialize in:
Python scripting for automation, ETL, and data processing
Docker & Kubernetes for containerized environments
Building and debugging large-scale ETL pipelines using PySpark & SQL
CI/CD, Infrastructure as Code, and cloud deployment reliability
Real-world projects I’ve worked on:
Developed and deployed a production-grade PySpark pipeline for large-scale data ingestion
Automated cloud environments with CI/CD pipelines and IaC for consistent.
I prioritize uptime, performance, and clean, maintainable code. If you're looking for a proactive engineer who can work fast and solve real production issues — let's work together.
Tools I Use: Python, Docker, PySpark, Git, PostgreSQL, Cloud Functions, GitHub Actions, Agile, Jira
Ready to discuss your project? Send me a message — I'm quick to respond.
Steps for completing your project
After purchasing the project, send requirements so Aman Rao can start the project.
Delivery time starts when Aman Rao receives requirements from you.
Aman Rao works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Requirements Collection
I’ll collect the sample CSV, any specific cleaning rules, and optional AWS credentials if deployment is needed.
Pipeline Development & Testing
I’ll set up S3 buckets, write and test the Lambda function using Python and Pandas.