I will build scalable etl data pipelines using python sql AWS azure

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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...
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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.

Zielplattform:

Snowflake

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Amazon Redshift

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Azure Synapse Analytics

Tools und Plattformen:

AWS Glue DataBrew

•

Debezium

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