I will build AWS data engineering pipelines using python, pyspark, sql and glue

Are you looking for an experienced Data Engineer to build reliable and scalable data pipelines?

I will develop and optimize AWS data engineering, ETL/ELT, and data processing solutions using Python, PySpark, SQL, AWS Glue, S3, Redshift, Athena, and Databricks.

What I can help you with:

• AWS Glue ETL/ELT pipelines
• Python & PySpark data transformation
• AWS S3 data lake solutions
• SQL queries and optimization
• Amazon Redshift data warehousing
• Athena external tables and analytics
• Databricks & Delta Lake pipelines
• API and database data ingestion
• Data cleansing, transformation & validation
• ETL troubleshooting and performance optimization
• Batch data processing and incremental pipelines

I focus on writing clean, scalable, maintainable, and production-ready data solutions based on your business requirements.

Whether you need a new data pipeline, optimization of an existing workflow, or help troubleshooting your data engineering project, I can help.

Technologies: AWS | Python | PySpark | SQL | Glue | S3 | Redshift | Athena | Databricks | Delta Lake