Certifications

Ingest, transform, store, and secure data pipelines on AWS using Glue, Kinesis, Redshift, and Lake Formation.

Design secure, resilient, high-performing, cost-optimized architectures on AWS.

Manage Azure identities, governance, storage, compute, and virtual networks.

Deploy applications, monitor operations, and manage enterprise solutions on Google Cloud.

Design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud.

Design, build, and operationalize data processing systems on Google Cloud.

Architect, build, scale, and monitor ML solutions on Google Cloud.

Implement data engineering solutions on Azure Databricks with Unity Catalog and Lakeflow.

Build generative AI applications and agents with Azure AI Foundry.

Build AI-enabled database solutions across SQL Server, Azure SQL, and Fabric with vectors and RAG.

Design, build, and manage enterprise analytics solutions with Microsoft Fabric.

Build data engineering solutions with Microsoft Fabric: ingestion, transformation, and optimization.

Run MLOps and GenAIOps on Azure Machine Learning and Microsoft Foundry.

Prepare, model, visualize, and analyze data with Microsoft Power BI.

Build ELT pipelines and production workflows on the Databricks Lakehouse.

Design, build, and deploy LLM-powered applications on Databricks.

Build, train, tune, and deploy machine learning models on the Databricks Lakehouse with MLflow.

Architect enterprise-scale Snowflake solutions covering multi-cluster warehouses, data sharing, and performance tuning.

Build and optimize production data pipelines in Snowflake with Streams, Tasks, Dynamic Tables, and Snowpark.

Master Snowflake architecture, security, performance, and data management.

Develop, test, document, and deploy dbt models like a professional analytics engineer.