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

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

Data governance and quality assurance practices, Databricks Unified Data Analytics Platform, Building and managing scalable data pipelines and workflows, Data integration and ETL processes, Cloud-based data storage and processing solutions

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

graph databases , object storage , S3, Emr, Data Modeling, Redshift, Sql, Lambda, AWS, Etl, column-family databases, data stores, key-value stores, non-relational databases

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

Java, Power Bi, Pyspark, Azure Databricks, Storage, Sql, Identity Management, Git, Ssas, Terraform, Docker, Ansible, Python, Kubernetes, Azure cloud networking, ADLS Gen2, Unity Catalog, Delta Lake, Microsoft Fabric, Compute

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

Pyspark, Azure Databricks, Avro, Azure Synapse, Azure Data Factory, Ansible, Spark, Python, Azure DevOps, Parquet, Git workflows, Azure Blob Storage, SQL DML, Azure Data Lake Gen 2, Delta, Microsoft Azure services