Data Modelling, Pyspark, Data Warehousing, Azure Databricks, Azure Sql, Sql, ELT, Git, Azure Data Factory, Azure Data Lake, Python, Azure DevOps, Etl, data pipelines, lakehouse architecture, CI CD deployment practices, Microsoft Fabric, Azure data services

Spark SQL, Pyspark, Sql, Databricks, LangChain, Data Map, n8n, Hologres, Alibaba Cloud DataWorks, MaxCompute, ATLAS, Kimball dimensional modeling, Flink, DLT, Unity Catalog, LangGraph, DataHub, metric-layer design, SCD, OpenClaw, Spark tuning, Delta Lake, Dify

S3, Oracle Sql, Data Architecture, ELT, Ec2, Kinesis, Python, Java, Aws Services, Emr, Redshift, Sql, Devops, Hive, Spark, Plsql, Kubernetes, Etl, Modeling, Airflow, Warehousing, R, machine learning deployment, microservices deployment, data crawling, streaming solutions, CI CD pipelines, warehouse construction, lake formation, Athena, container orchestration, Oracle database architecture

Spark SQL, Git, Apache Flink, Pyspark, Apache Kafka, Databricks, Azure, Sql, Airflow, AWS Kinesis

Data Modelling, Google Cloud Platform, Shell Scripting, JIRA, Sql, Apache Airflow, Git, Azure Data Factory, Docker, Terraform, Databricks, Data Governance, Azure, Python, Etl Development, AWS, Data Pipelines, CI CD, Site Reliability Engineering, Data Quality Testing

snowflake , Data Lake, Sql, Ms Azure, Azure Data Factory, Python, Code reviews, Synapse Pipelines, Deployment processes, Lakehouse concepts, Data ingestion, Source Control

data warehouses , Pyspark, Apache Spark, Emr, Sql, ELT, Azure Synapse, Git, Azure Data Factory, Agile, Microsoft Azure, Databricks, Python, AWS, Aws S3, Etl, Data Lakes, ADLS, Glue

Databases, Apis, Version Control, Automated Testing, ELT, Data Extraction, Data Quality, Azure, AWS, Etl, Infrastructure as Code, data pipelines, event-driven data pipelines, CI CD, enterprise systems, incremental CDC, hybrid integration, files, streaming sources, data ingestion

AWS, Power Bi, Databricks, Sql, Java, Python, Git, Scala, Tableau