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

Scala, Pyspark, Apache Spark, JIRA, Sql, Jenkins, Git, Confluence, Powerbi, Terraform, Gitlab, GCP Data Lake, MLflow, GCP Pub Sub, GCP Cloud Storage, Vector Databases, Delta Lake, Looker Studio

Azure, AWS, Data Modeling, Data Integration, Data Governance

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

Databases, Agile Methodologies, Data Warehousing, Sql, ELT, Python, Etl, GenAI, knowledge graphs, data analytics tools, vector databases, LLM-enabled solutions, Data Storage, retrieval architectures, AI application frameworks, cloud data platforms

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