Sql, Gcp, Spark, Azure, Python, AWS, End-to-End Ecosystem Governance Integrity, Vector DBs, Core Modern Data Engineering Mastery, DataOps, Cloud-Native MDS Capability, dbt, Business-Driven Data Product Architecture, AI-Driven Data Architecture, Lakehouses, Real-time Streaming

data warehouses , snowflake , Sql, Tableau, Power Bi, Etl Tools, Nosql, Azure Synapse, Redshift, data modeling techniques, data architecture governance and integration frameworks, NORA 2.0 data reference model, BI platforms, NCA compliance standards, SDAIA data policies, iServer, data catalogs, EA tools, Alfabet, Sparx EA

Sql, BigQuery, Java, Python, DataFlow, Scala, Kafka, GCP Data Stack, Vertex AI, Cloud Composer Airflow, Pub Sub

Data Architecture, Data Modeling, Dimensional Modeling, Star Schema, Snowflake Schema, Data Vault 2.0

containerization , API design, Kafka, Azure Machine Learning, MLops, Azure Databricks, Etl, Orchestration, REST, Middleware, Azure Data Factory, Data Governance, Kubernetes, Graphql, Docker, AI Services, OpenAI, Data architecture patterns, AI ML lifecycle, Enterprise integration platforms, Security and compliance, Data mesh, Lakehouse, Microsoft Fabric, Distributed systems architecture, Event-driven architectures, API gateways, Azure Data AI ecosystem

Spark, Sql, Etl, Data Quality, Python, Informatica, Azure Data Fabric, cloud-native services, master data management, AI pipelines, data integration architectures

data engineering , Artificial Intelligence, Python, Sql, Pyspark, Devops, Api Integration, Microservices, Terraform, Azure Devops, Github, Kubernetes, Docker, Solution Architecture, Effort Estimation, Rfp, Rfi, Requirement Gathering, Solution Design, Cloud Architecture, Aws, Azure, Gcp, Data Architecture, Databricks, Etl, Resource Planning, Proposal Development, Stakeholder Management, Llm