Git, Spark, Python Programming, Data Modeling, Databricks, Advanced Sql, Building scalable ETL pipelines, Data warehousing and BI tools integration

Metadata Management, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

Oracle Cloud, RDBMS, Power Bi, Tableau, Workday, Sql, Salesforce

Hadoop, Scala, Jira, Impala, Jenkins, Git, Hive, Confluence, Spark, Agile, Nexus, Advanced Sql, CI CD Tools, Relational Databases, OS UNIX

Dependency Injection, Java, BigQuery, Apache Flink, Google Cloud Platform, Linux, PostgreSQL, Kubernetes, Sql

Devops, Databricks, Microsoft Azure, Sql, Apache Nifi, Dagster, CI-CD

Hadoop, Pyspark, Kafka, Presto, Spark, Python, AI tools, Pinot, pgvector, Codex, vector databases, Claude, Pinecone, Flink, cloud data warehouses, Hudi, Milvus, Weaviate

Data Modeling, Pyspark, Sql, Git, Azure Data Factory, Databricks, Data Warehousing, Azure DevOps, GitHub Actions, Synapse Analytics, Delta Lake, Microsoft Fabric

Data Quality, Metadata Management, Data Governance, Python, Sql, workflow orchestration tools, ETL ELT frameworks, AWS cloud platforms, data lake architecture

Pyspark, Kafka, Terraform, Python, Spark SQL, Apache Spark, Sql, Git, Azure Data Factory, Databricks, Spark Structured Streaming, Airflow, OneLake, Warehouse, Pipelines, CI CD, Microsoft Purview, Dataflows, Event Hubs, Unity Catalog, dbt, Lakehouse, Delta Lake, Microsoft Fabric