Designing and implementing geospatial databases, data models, and ETL processes using tools like Postgres/PostGIS, and working with serialized data formats such as protobuf/avro.- Developing quality checks and metrics on large scale spatial data- Collaborating closely with data scientists, analysts, and partners to understand data requirements and provide geospatial solutions.- Integrating geospatial data with other systems and applications using AWS/GCC services like EKS, EMR, and working with big data technologies like Spark.- Optimizing spatial queries for performance and scalability across multiple toolsets- Ensuring data quality, consistency, and accuracy through automated testing and validation processes.- Documenting processes, systems, and datasets for future reference and replication.- Providing technical support and solving for geospatial data systems.