snowflake , Pyspark, Jira, Sql, Jenkins, Git, Gcp, Docker, Kubernetes, Python, Airflow, CI CD

data engineering , snowflake , Snowpipe, Kafka, ELT, Kinesis, Terraform, Streams, Python, AWS, Data Modelling, Collibra, Cloudformation, Sql, Devops, Databricks, Etl, Airflow, Dynamic Tables, Alation, Snowpark, Tasks, Git-based CI CD, dbt

snowflake , Pyspark, Data Warehousing, Kafka, Data Modeling, ELT, Kinesis, Neo4j, Python, AWS, BigQuery, Scala, Apache Spark, Redshift, Sql, Gcp, Databricks, Rest Apis, Azure, Etl, cdc, Pub Sub, Reverse ETL, SCD

Data Modeling, Sql, Python, Azure Synapse Data Factory, Microsoft Fabric, Fivetran

Sql, Azure Data engineer, Microsoft fabric, Fivetran

Data Modeling, Data Warehousing, Python, Data Integration, Sql, ELT, Etl, Data Quality Management, Microsoft Fabric, Azure Data Services

Java, BigQuery, Git, Docker, Kubernetes, Python, Data Integration, Sql, Etl, Airflow

Cloud Storage (GCS), Google Cloud Platform (GCP), Advanced Sql, Python, Analytics Hub data sharing, Dataflow batch streaming pipelines, BigQuery advanced optimization and tuning, Batch and streaming data processing, Scripting and automation, Dataform SQL-based transformations, Dataplex Data Catalog, Data lakehouse architecture concepts, Pub Sub event-driven architectures, IAM Security controls, Data ingestion frameworks config-driven approach, Cloud Monitoring Logging, Java or Scala, ETL ELT pipeline design and implementation, Data modeling and warehousing principles, CDC and incremental processing

snowflake , Python, Sql, AWS Cloud services, data quality best practices, ETL data pipeline management