data engineering , Data Analytics, data product management, product management

data engineering , Data Analytics, data product management, product management, cloud-based data platforms, AI-driven use cases

Cloud Data Engineering (GCP Focused), Programming & Automation, Data Modeling & Warehousing, Api Integration, SAP Data Expertise, Data Pipeline Development

Agile Scrum, AI tools, Data Analysis, Product Management, Clinical data interoperability

Sql Queries, Google Cloud Platform, Agile Methodology, Data Governance, Rally, technical data stewardship, cloud security controls, AI compliance, metadata management tools, data warehousing architectures

Hadoop, Data Lineage, Data Architecture, Spark, Databricks, Azure, AWS, Context engineering, ML solutions, RAG fine-tuning, ETL processes, Data quality frameworks, Data lake technologies, AI solutions, Analytics platforms

embedded analytics , change data capture , Apis, Data Modeling, Permissions, query engines, lakehouse-style storage, safe action execution, in-process analytics, serving layers, extensibility, modern data architectures, DuckDB, natural-language querying, source systems, event streams, Text-to-SQL evaluation, data ingestion, SDKs, observability, downstream activation, AI products, developer platforms, data platforms, querying, analytics products, AI-native data experiences, data quality governance, infrastructure products

Sql, Python, Data analytics tools

data engineering , Machine Learning, business intelligence, data ownership, data platforms, ETL pipelines