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

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

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

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

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

Data Modeling, Pyspark, Sql, Git, Azure Data Factory, Databricks, Data Warehousing, Azure DevOps, GitHub Actions, Synapse Analytics, 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