data engineering , snowflake , Data Architecture, Ml, S3, ELT, Data Governance, Devops, Kafka, BigQuery, AWS, Etl, Python, PostgreSQL, Redshift, identity and data security architecture, Ai, data pipelines, Streaming Data, Apache Iceberg, analytics platforms, Glue Data Catalog, cloud data platforms

snowflake , S3, Cloudformation, Pyspark, AWS Glue, Emr, Redshift, Sql, Lambda, Terraform, MySQL, Postgres, Spark, Gitlab, Databricks, Python, Airflow, Step Functions, GitHub Actions, dbt, Fivetran

Azure Data Factory, Adf, Pyspark, Azure Databricks, Sql

, Ml, Databricks, Metadata Management, Data Lake, Teradata, Data Fabric, Lakehouse, Unified Data Access Layer, Ai, GenAI, Cloud-native Data Platforms, EDW Ecosystems, Hadoop-based Platforms

Metadata Management, Data Factory, Power Bi, Data Governance, Neo4j, Rdf, Enterprise Data Modelling, GraphRAG, Microsoft Fabric, owl, AI Data Platforms, Semantic Modelling, Amazon Neptune, Taxonomies, SKOS, controlled vocabularies, Knowledge Graphs, GraphDB

Metadata Management, Data Modeling, Pyspark, Apache Spark, Big Data Technologies, Databricks, Sparksql, Performance Tuning

S3, Redshift, Sql, Hl7, Python, AI tools, Airflow, FHIR, Graph Ontological Modeling, AWS Data Services, Lake Formation, dbt, Glue, Data Vault 2.0, Athena

PostgreSQL, SQL Server, Data Warehousing Concepts, Azure, Oracle, Sql Scripting, Data Architecture Principles, dbt, Fivetran, Data Analytics on Microsoft Platform

Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Apache Spark, Azure Databricks, Azure Machine Learning, Python, Sql