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I will build scalable etl data pipelines using python sql AWS azure
DATA ENGINEERING
Data Engineer with 2 years of experience in Big Data, Data Engineering, and Data Analysis. Proficient in Python, PySpark, AWS (Glue, Lambda, Step Functions, S3, SNS, SQS, SES, Redshift), Snowflake, Da...
About this Gig
Looking for a reliable AWS Data Engineer to build scalable and efficient data pipelines? You're in the right place!
I design, develop, and optimize ETL/ELT pipelines using AWS services, Python, SQL, and PySpark. I can automate data ingestion, transformation, validation, and loading to create reliable, analytics-ready datasets.
Services I Offer:
- AWS ETL/ELT Pipeline Development
- S3, Glue, Athena, Redshift & Lambda Integration
- Data Ingestion & Transformation
- Python, SQL & PySpark Development
- Data Cleaning & Validation
- Workflow Automation
- Performance Optimization
- Glue Jobs & Crawlers
- Data Warehouse Solutions
- Documentation & Support
I deliver clean, scalable, production-ready solutions with clear communication and on-time delivery. Whether you need a new data pipeline, optimization, migration, or troubleshooting, I am committed to providing high-quality results. Please contact me before placing an order to discuss your project requirements.

