Define the architecture and design of data ingestion and ETL / ELT processing to meet
functional and non-functional requirements and objectives.
Develop ETL / ELT processes that convert data into formats through a team of data
analysts and dashboard charts.
Creating data structures to ingest large volumes of data.
Searching through, cleansing, structuring ingested data.
Creating data models for querying the data.
Creating API endpoints based on processed data.
Responsible for performance, speed, scalability, and extensibility of any application
requiring usage of the pipeline.
Collaborate with analytics and business teams to improve data models that feed business
intelligence tools, increasing data accessibility, and fostering data-driven decision making
across the organization.
Maintenance of automated ETL / ELT processes