Database Systems, Apis, Kafka, Cloud Technology, Integration Architecture, Azure Data Factory, Databricks, Azure API Management, data stream processing, Message Bus, Real-time system integration, integration platforms, ETL processes, integration best practices, Microsoft Fabric

snowflake , Performance Tuning, Aws Redshift, Kafka, Azure Databricks, Data Governance, Data Modeling, Airflow, Data mesh, Dataiku, dbt, Event Hubs, Delta Lake, Cloud data architectures, Git-based workflows

data engineering , snowflake , Kafka, Databricks, ELT, Java, Hadoop, Spark Streaming, BigQuery, AWS, Etl, Python, Azure, Gcp, Scala, Redshift, Spark, Synapse, Cloud-based architectures

snowflake , Kafka, Data Governance, Databricks, Airflow, dbt, data observability, cloud-native architectures

snowflake , Azure Sql, Databricks, Apache Airflow, Microservices, Apache Spark, Aws Rds, AWS, Azure, Gcp, REST, domain-driven design, oci, GCP Cloud SQL

graph databases , snowflake , Databricks, Pyspark, BigQuery, Advanced Sql, Neo4j, Apache Flink, Data Lineage, Python, Metadata Management, Apache Kafka, vector databases, Airflow, dbt, Prefect, data quality frameworks, Weaviate, pgvector, feature stores, Pinecone, data cataloguing, embedding pipelines, data governance programs, data contracts, cloud data platforms

data engineering , Data Architecture, Kafka, Sql, ELT, Gcp, Kinesis, Azure, Python, AWS, Etl, analytics platforms, data pipelines, orchestration tools, cloud-based data ecosystems, streaming technologies, lakehouse architectures