Tagcor

Azure SQL Database Azure Data Lake Storage

Data Management and Storage:
- Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse.
- Ensure scalability, performance, and cost-effectiveness.
Data Integration and ETL (Extract, Transform, Load):
- Develop and implement data integration processes using Azure Data Factory.
- Extract data from various sources, transform it, and load it into data warehouses or data lakes.
Big Data and Analytics:
- Utilize big data technologies such as Apache Spark.
- Create data processing workflows and pipelines to support data analytics and machine learning applications.

Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function.
Monitor and optimize data pipelines and database performance to ensure data processing efficiency.
Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data.
Document data engineering processes, data models, and pipelines to ensure transparency and maintainability.