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 quality assurance , Data migration strategies, ETL processes, Data integration techniques, Data storage solutions

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

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

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

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