snowflake , Java, Data Modelling, Apache Spark, Sql, Apache Airflow, Gcp, Databricks, Azure, Python, AWS, Data Warehousing principles, ETL processes

Hive, Hadoop, Pyspark, Spark, Big Data, Data Warehousing, Python, Sql, Etl, AWS, HDFS

Data Modelling, Aws Redshift, Scala, Apache Spark, ELT, Azure Synapse, Gcp, Databricks, Data Warehousing, Azure, Python, Etl, AWS, Lakehouse Architecture, Google BigQuery, Unity Catalog, DataOps, Delta Lake, Databricks Workflows

Data Quality, Pyspark, AWS Glue, Pl Sql, Data Warehousing, Python, Sql, Etl, ELT, Data Lakes

Spark, Sql, Etl Development, Big Data Technologies, Data Modeling, Java, Hadoop, Pyspark, Google Cloud, AWS, Hive, Data Warehousing, Kubernetes, Python, Azure, Docker, Scala, Airflow, Prefect

data engineering , snowflake , Data Modelling, Agile Methodology, Cloud Architecture, Pyspark, Data Governance, Redshift, Sql, Gcp, Databricks, Scrum, Azure, Python, AWS, Data Warehouse Development, Synapse, dbt, Data integration techniques, Kanban

Data Warehousing, Sql, Etl Development, Big Data Technologies, Data Modeling, Java, Hadoop, Pyspark, Google Cloud, AWS, Hive, Python, Kubernetes, Azure, Docker, Scala, Spark, Airflow, Prefect

graph databases , Kafka, Data Governance, Metadata Management, Coding Skills, Spark, Execution traceability, Semantic retrieval, Git workflows, Enterprise data architecture, Streaming architecture, Vector databases, Contextual intelligence, AI-assisted metadata enrichment, Cloud-native data engineering, Modern DevOps, Lineage architecture, Domain-driven architecture, Ephemeral persistent storage architectures, Ontology semantic modeling, MDM entity resolution

Spark, Sql, Etl Development, Big Data Technologies, Data Modeling, Java, Hadoop, Pyspark, Google Cloud, AWS, Hive, Data Warehousing, Kubernetes, Python, Azure, Docker, Scala, Airflow, Prefect