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

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

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

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

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