Azure Data Engineer - ADF-ADL

• Proficient T-SQL developer in developing complex queries,
  stored procedures and skilled in performance tuning and ensuring database
  integrity and security.
  
• Designed and implemented Azure-based data solutions, by
  reducing data processing and optimizing costs by implementing efficient
  resource utilization strategies.
  
• Conducted performance tuning and troubleshooting of Azure SQL
  databases, enhancing system stability.
  
• Developed and Managed end-to-end ETL pipelines using Azure Data
  Factory, with improvement in data integration efficiency.
  
• Implemented Azure Synapse Analytics to streamline analytics
  workflows.
  
• Implemented data integration solutions leveraging Azure Data
  Factory and Azure Synapse Analytics for seamless data flow.
  

Requirements

• Azure Services: Azure SQL Database, Azure Data Factory, Azure
  Databricks, Azure Synapse Analytics, Azure Data Lake, etc.
  
• Programming Languages: T-SQL, PySpark, Spark SQL, Fair
  knowledge on KQL.
  
• Data Modeling: ERD, Dimensional Modeling
  
• ETL Tools: Azure Data Factory, Fair Knowledge of SSIS
  
• Big Data Technologies: Fair knowledge on Hadoop and Spark
  
• Performance Tuning and Troubleshooting
  
• Version Control: Git, Azure DevOps
  
• Managed the migration of legacy data systems to Azure Synapse
  Analytics ensuring minimal downtime and improved performance.
  
• Orchestrated the migration of data infrastructure to Azure
  Databricks, ensuring seamless integration and improved efficiency.
  
• Developed and deployed scalable data pipelines on Azure
  Databricks.
  
• Implemented robust security measures for data storage and
  processing in compliance with industry standards and regulations.
  
• Collaborated with cross-functional teams to optimize data
  architecture and improve data quality.
  
• Developed and maintained Azure Data Lake storage solutions,
  enabling seamless data ingestion and processing.