Data Transformation (ETL)

We provide ETL services using Alteryx, SQL, MYSQL, SQL Server Integration Services (SSIS)

• Designing the ETL process: Outlining the process, selecting tools and methodologies, and ensuring efficient data flow. 
  
  
• Extracting, transforming, and loading data: Extracting data from sources like databases, APIs, and flat files, transforming it into a standard format, and loading it into a centralized repository. 
  
  
• Ensuring data quality: Implementing data validation, cleansing, deduplication, and error handling. 
  
  
• Designing data models: Designing data structures and schemas in the data warehouse to optimize query performance. 
  
  
• Creating data pipelines: Coding and configuring pipelines that automate data movement and transformation. 
  
  
• Creating a data warehouse: Designing a data warehouse to meet the company's needs. 
  
  
• Conducting quality control: Testing the data warehouse and data lake to ensure stability. 
  
  
• Troubleshooting: Fixing warehousing system issues. 
  
  
• Project management: Taking on more complex tasks like architectural design and strategic decision-making.