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

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

snowflake , Pl Sql, Informatica, Python, dbt, Google BigQuery, Teradata

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

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

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