data reconciliation , traceability , Performance Tuning, Itsm, AWS Glue, Data Modeling, Incident Management, Itil, Sql, Production cutover, Tableau extracts, Amazon QuickSight, BI platform migration, Natural-language-query analytics, Data-source conversion, Semantic layers, Security, Custom SQL, Spice, Migration controls, Amazon Bedrock, Monitoring

Apis, Data Security, PostgreSQL, Data Architecture, Dynamodb, Data Modeling, AWS, knowledge graphs, distributed data systems, data contracts, NoSQL databases, Privacy, semantic models, entity-relationship models, Authorization, graph-based architectures, tenant isolation, ontologies, Governance

snowflake , S3, Pyspark, AWS Glue, Emr, Redshift, Sql, Cloud Migration, Lambda, Git, Terraform, Data Lake, Data Warehouse Architecture, Data Governance, Python, ETL ELT Design Development, CI CD, Data Modeling Logical Physical, Athena

enterprise data modeling , Metadata Management, Pyspark, Dimensional Modeling, Azure Databricks, Azure Synapse Analytics, Spark, Data Warehouse Architecture, Azure Data Lake Storage ADLS Gen2, Data Lakehouse Architecture, Performance Tuning and Scalability, Azure Data Factory ADF, Infrastructure-as-Code concepts, ETL ELT architecture, Data Pipeline Design and Optimization, Azure Data Platform, Delta Lake, Data Governance and Data Quality Frameworks, CI CD and DevOps for data platforms, Azure SQL SQL Server, Master Data Management

snowflake , Gdpr, Data Modeling, Hadoop, Scala, AWS Glue, Apache Spark, Hipaa, Big Data, Informatica, Sql, Azure Synapse, Azure Data Factory, Databricks, Data Warehousing, Azure, Python, Etl, AWS, Performance Optimization, SOC2, CI CD, dbt

Apache Spark, Cloud data platforms and services, Databricks Unified Data Analytics Platform, ETL processes, Data governance frameworks, Python Programming Language, Data integration tools, Data modeling techniques

data engineering , Databricks, Data Modeling, Data Warehousing, LLMs, Microsoft Fabric, AWS data ecosystem, Enterprise data architecture, Applied AI solution design, AI technology stacks

Sql, Data Factory, Pyspark, Power Bi, Data Lineage, Data Governance, Dimensional Modeling, Data Quality, Spark SQL, semantic models, Security, star schemas, medallion architecture, Warehouse, OneLake, Privacy, Delta Lake, semantic mapping, Taxonomy, lifecycle controls, Dataflow Gen2, enterprise ontology, metadata frameworks, Lakehouse, Notebooks, Microsoft Fabric, KPI definition, master data management, Data Pipelines