Paas, Gcp, Javascript, Terraform, Ansible, Iaas, Ruby, Python, AI-ML, Chef, Data

Agile Methodology, MySQL, Data Architect, Cosmos DB, Sql, Database, AWS, Sdlc

T-sql, SQL Server, Azure Data Factory, Databricks, Python, Etl, Logic App, Azure Data Lake Storage Gen2, Event Hub, Azure Monitoring, Azure Suite Fabric, Microsoft Purview, Stream Analytics, Data Explorer, CosmosDB

Database Design, Data Governance, Data Architecture Principles, Integration methods, Security principles, Data storage solutions, Data modeling techniques

Pyspark, Apache Spark, Sql, Rabbitmq, Rdf, Neo4j, Apache Kafka, Python, Airflow, GraphDB, owl, pgvector, Stardog, Great Expectations, Pinecone, Flink, AWS Glue DataBrew, Chroma, dbt, Dagster, Milvus, Weaviate, Apache Jena

data products , Gcp, Azure, AWS, data modernization, LLMs, copilots, mesh, Marketplace, cloud data platforms, MDM Governance, cloud ecosystems, pipelines governance, Gen AI solutions, Fabric, enterprise AI use cases, RAG architectures

snowflake , automation, Sql, Databricks, SQL Server, Data Modeling, Python Scripting, Oracle, Control M, Git, Airflow, dbt, CI CD, DevOps practices, cloud data warehouses

Github, Power Bi, Pyspark, Datadog, Sql, Jenkins, Git, Azure Data Factory, Distributed Systems, Gitlab, Splunk, Python, cloud-based microservices, Batch Systems, Data Bricks, Synapse, CI CD pipeline, Dedicated SQL Pool, ADLS, Azure services, Spark Pool, cloud-native architectures