Java, Scala, Apache Spark, Databricks, Data Modeling, Data Warehousing, Azure, Python, Google Cloud, AWS, ETL processes

Agile Development Methodologies, Database Design, Data Warehousing, Databricks, Data Modeling, SSIS, Sql, cloud-based data platforms

Gcp, Sql, Test Automation Tools, Pytest, Selenium, AWS, Api Testing, Postman, Python, Azure, Graphql, Jenkins, Git, REST, Azure DevOps, GitHub Actions, Playwright, Robot, NoSQL databases, Cloud environments

Apache Airflow, Data Modeling, Pyspark, Version Control, Databricks, Sql, AWS, ETL ELT

Azure Databricks, Sql, Azure Data Factory, Azure Synapse Analytics, Spark, Data Lake, Azure Machine Learning, Python, Generative AI concepts, Infrastructure as Code, Azure OpenAI, AI ML integration, Azure AI Services, CI CD implementation, Azure Cognitive Services

MLops, Pyspark, Databricks, Python, Sql, AWS, GenAI, LLMOps

Devops Automation, Performance Tuning, Cloudformation, Pyspark, Azure Databricks, Data Modeling, Sparksql, Sql, Gcp, Terraform, Azure, Oracle, Python, AWS, Unity catalog, Teradata, rbac, Delta Lake, ETL orchestration, CI CD implementation, GenAI Agentic AI, Workload optimization, Medallion architecture

Slowly Changing Dimensions (SCD), Pyspark, Apache Spark, Sql, Dimensional Modeling, Data Warehousing Concepts, Databricks, Distributed Systems, Python, Data pipeline orchestration and optimization, Snowflake schema, DevOps practices, Data governance and security best practices, Data Modeling techniques, Databricks platform and ecosystem, CI/CD pipelines, Large-scale data processing, Delta Lake, Lakehouse architecture