I will create automated etl pipeline with AWS lambda, s3 and snowflake
Data Engineer Specializing In ETL Pipelines And Cloud Data Solutions
About this Gig
Looking for a professional Data Engineer to build a scalable ETL pipeline? I will create a serverless data pipeline using AWS Lambda, Python, and Snowflake that automates your data integration needs.
ETL Pipeline Services:
Serverless ETL using AWS Lambda and Python
Data extraction from APIs, databases, CSV, or web scraping
Data transformation and cleaning with pandas
Loading into Snowflake, MySQL, SQL Server, MongoDB
AWS S3 data lake with partitioning
Automated scheduling with EventBridge
Secure credentials with AWS Secrets Manager
Error handling and CloudWatch monitoring
Architecture diagram and documentation
Source code included
Tech Stack:
Python | SQL | AWS Lambda | S3 | Snowflake | PostgreSQL | EventBridge | boto3 | pandas
Why Choose Me:
2+ years data engineering experience
Delivered ETL pipelines processing 500K+ records
Expert in AWS and Snowflake data warehousing
Production-ready code with testing
Fast response and clear communication
Perfect For:
Real-time data integration, API data collection, database migration.
Benefits:
Serverless architecture, auto-scaling, cost-effective, 99.9% uptime, secure encryption.
Contact me before ordering to discuss your requirement!
Tools & Platforms:
Kafka Connect
•
Apache NiFi
My Portfolio
FAQ
Do I need an AWS account for the ETL pipeline?
Yes, you'll need an AWS account. I can guide you through setup. Monthly cost is typically $5-20 depending on data volume. AWS Free Tier available for first year.
What data sources can you integrate?
I can integrate REST APIs, databases (PostgreSQL, MySQL, MongoDB, SQL Server), CSV files, web scraping, cloud storage (S3, Google Drive).
How much does AWS Lambda cost to run?
Very affordable! AWS Lambda charges only for execution time. Most projects cost $5-20/month. I optimize code to minimize costs. Free tier covers small projects.

