Scalability, Metadata Management, Amazon S3, AWS Glue, Generative AI implementation, AWS data services, data quality best practices, AWS Lake Formation, ETL workflows, data ingestion pipelines, lakehouse architectures

Google Cloud Platform (GCP), DBT (Data Build Tool), BigQuery, Data Modeling, Hadoop, Sql, Cloud Storage, Spark, Python, Cloud Dataflow, Cloud Pub/Sub, Cloud Run, Cloud Composer, Cloud DataProc

Data Modelling, Pyspark, Data Integration, Sql, ELT, Data Quality, Data Architecture, Data Lake, Databricks, Microsoft Azure, Data Security, Data Governance, Python, Etl, AI Workloads, Analytics, Lakehouse, metadata

data quality assurance , Performance Tuning, Data Security, Cloudformation, AWS Glue, Data Modeling, Data Governance, Sql, Business Intelligence Tools, Python, Aws S3, Statistical programming software, Statistical methods, Partitioning strategies, Regulatory Compliance, Data ingestion

Database Technologies, Etl Tools, Pyspark, Azure Databricks, Azure Data Factory, Gcp, Databricks, Azure, Python, AWS, Databricks Workflows Orchestration, Delta Lake

enterprise data modeling , Azure Databricks, Sql, ELT, Rest Apis, Python, Er Studio, Etl, Data Ingestion Frameworks, powerdesigner, Fact Tables, Kimball Dimensional Modeling, Dimensional Data Modeling, Erwin Data Modeler, Data Vault Modeling, Star Schemas, Data Lakehouse Architectures, Data Warehouse Design, Snowflake Schemas, Dimension Tables

Azure Data Factory, Azure Synapse Analytics, SQL Server, Apache Spark, Data Migration SQL Server ? MariaDB MySQL PostgreSQL, Microsoft Purview, AI Data Architecture RAG Vector Search Embeddings, Data Modeling Kimball Data Vault Lakehouse, Microsoft Fabric

data engineering , Data Architecture - Data Modeling, Python - OpenSystem, Python, Data Management, Data Warehouse Testing, Data Architecture, Etl Tool, Databricks, Data Services Testing, Technology, OpenSystem

Dynamic Sql, solution architecture, SAP Datasphere, partitioning, SQLScript, SAP Analytics Cloud, SAP HANA Cloud, Reporting, Design, Modeling