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Data Engineer

$20/hr Starting at $100

  • Data Modeling: Designing and implementing data models (both relational and non-relational) to support robust and scalable data storage solutions.
  • Database Management: Setting up, maintaining, and optimizing databases such as SQL, NoSQL, and data lakes to ensure efficient data storage and retrieval.
  • ETL/ELT Processes: Building efficient Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move and transform data from various sources into centralized data warehouses.

  • Automation: Developing automated data pipelines to ensure seamless data flow with minimal manual intervention.

  • Data Aggregation: Integrating data from multiple disparate sources (APIs, databases, file systems, etc.) to provide a unified view for analytics and business intelligence.

  • Data Cleansing: Implementing processes and tools to clean and validate data, ensuring accuracy, completeness, and consistency.

  • Query Optimization: Analyzing and optimizing database queries to improve performance and reduce latency.

  • Cloud Platforms: Designing and managing data solutions on cloud platforms such as AWS


About

$20/hr Ongoing

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  • Data Modeling: Designing and implementing data models (both relational and non-relational) to support robust and scalable data storage solutions.
  • Database Management: Setting up, maintaining, and optimizing databases such as SQL, NoSQL, and data lakes to ensure efficient data storage and retrieval.
  • ETL/ELT Processes: Building efficient Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) pipelines to move and transform data from various sources into centralized data warehouses.

  • Automation: Developing automated data pipelines to ensure seamless data flow with minimal manual intervention.

  • Data Aggregation: Integrating data from multiple disparate sources (APIs, databases, file systems, etc.) to provide a unified view for analytics and business intelligence.

  • Data Cleansing: Implementing processes and tools to clean and validate data, ensuring accuracy, completeness, and consistency.

  • Query Optimization: Analyzing and optimizing database queries to improve performance and reduce latency.

  • Cloud Platforms: Designing and managing data solutions on cloud platforms such as AWS

Skills & Expertise

Data EngineeringData ManagementData WarehouseDatabase DesignDatabase DevelopmentMicrosoft SQL ServerOraclePythonQuery OptimizationSQLStored Procedures

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