Solution Architecture, Data modeling techniques and methodologies, Data AI Solution Architecture, Data governance and data quality frameworks, Data integration and ETL processes, LLMs automation and engineering toolchains, Cloud DevOps or AI modernization initiatives, Cloud-based data solutions and architectures

Azure Synapse Analytics, Python, Spark PySpark, SQL and relational databases, Azure DevOps CI CD pipelines, Azure Data Factory complex pipeline orchestration, Azure Storage Data Lake ADLS Gen2, ETL ELT frameworks and data modeling concepts, performance tuning and large-scale data processing, Azure Data Engineering ecosystem, Azure Databricks advanced implementation optimization

data discovery , Metadata Management, Performance Tuning, Kafka, Data Modeling, Data Lineage, Query Optimization, Python, Google Cloud Platform, Clustering, Sql, Technical Leadership, Data lakehouse principles, cdc, Streaming architectures, Google BigQuery, Mentorship, Pub Sub, Partitioning, Data pipelines, SCDs, Dimensional models, AI ML use cases, Google Cloud Storage, Data versioning

Azure Functions, SQL Server, Azure DevOps, GitHub Actions, Microsoft Entra ID, T-SQL performance tuning, AlwaysOn Availability Groups, Service Bus, Azure App Services

Sql, Database Design, Triggers, Automation, Reporting Tools, Dashboard Development, Microsoft Fabric, Stored Procedures

Data Modeling, Sql, Python, Performance Tuning, Machine Learning, Data Architecture, Analytics

data engineering , Aws Services, data models, Master data management solutions, Data lakes, Cloud data warehouses, Data quality assessments, data infrastructure, Automation of recurring tasks