AI-driven data management, Microsoft Azure Machine Learning, Microsoft Azure OpenAI Service, data storage solutions, database design principles, data modeling techniques, cloud-based data services, Microsoft Agentic AI Architecture, integration methods

Spark SQL, Pyspark, Apache Spark, Data Quality, Data Governance, Data Modeling, Apache Airflow, Databricks, Databricks SQL, Unity Catalog, Delta Lake, Lakehouse architecture, Pipeline orchestration, Cost Optimization, Databricks Workflows

Data Quality, Metadata Management, Data Architecture, Data Governance, Data Modeling, fund LP and GP data structures, document metadata modeling, financial data structures, Physical Data Modeling, entity mapping

Data Governance, ELT, Data Architecture, Gdpr, Hipaa, Data Warehousing, Hadoop, Tableau, Power Bi, Etl, Bi Tools, Database Management, Python, Azure, Scala, Data Modeling, Spark, Relational SQL, Looker, Data Integration Tools, R, Non-relational NoSQL

snowflake , Hadoop, Metadata Management, PostgreSQL, SQL Server, SSIS, Sql, Devops, DataStage, Spark, Data Governance, Microsoft Azure, Databricks, Talend, Oracle, AWS, data quality frameworks, CI CD, Google Cloud Platform GCP, ADF Azure Data Factory, Informatica PowerCenter IICS

Database Knowledge, Cloud Technologies, Data Extraction, automation solutions, Advanced Sql, Mapping, data migration tools, validation methodologies, enterprise data migration practices, Reconciliation, data quality management, migration testing methodologies, Loading, Transformation, conversion frameworks, Normalization, Oracle databases, ETL processes, Governance