Architect - Data And Analytics Practice
Current•Databricks framework for fact loading, dimension loading, data quality in dynamic workflows •EDM Domain Modeling Lifecycle, Domain Models, Data Warehouse modelling •MDM Data Architecture, Integration Pipelines with Informatica•Data engineering hands-on engagement for large volume data ingestion to extend pipelines and improve fault tolerance on processes leveraging Azure Batch, on-prem/cloud container services in Python, C++,Java. • Design data streaming architecture and processes to enable real-time data processing and analytics on Hazelcast Jet. Prove-out with hands-on Java, Python, Docker. • Data domain inventory, data domain consumer application inventory, data domain models, data domain services design.• ETL data ingestion platform evaluation, ETL patterns and solution design• ETL build-out architecture validation on Google Cloud Dataflow, Dataflow Templates, Google Cloud SQL PostgreSQL, Apache Beam• Hands-on microservices deployment on Kubernetes, AWS