Hadoop, Kafka, Data Modeling, Sql, Git, Spark, Python Programming, Databricks, Azure DevOps for CI CD integration, Azure Cloud knowledge, Data warehousing and BI tools integration, Building scalable ETL pipelines, Agile delivery methodologies

Data Modeling, data integration techniques, database design principles, data warehousing solutions, cloud-based data storage solutions, AWS Analytics, ETL processes

Hadoop, Pyspark, HBase, Sql, Mapreduce, Git, Hive, Spark Streaming, RDBMS, Linux, Spark, Apache Kafka, Oozie, Python, Airflow, Data Flow Development, Flink

Hive, Hadoop, Pyspark, Data Warehousing Concepts, Bash, Sparksql, Sql, Python, Big Data Technologies, Airflow, DataFrame

snowflake , Performance Tuning, Kafka, Sql, Python, Airflow, Snowpipe Streaming, Agile development concepts, message brokers, ADLS, Azure services, dbt, real time streaming platforms

T-sql, VB.NET, SQL Server, Data Modeling, Data Warehousing Concepts, Cloud integration technologies, ETL best practices, Error-handling mechanisms

T-sql, Data Modeling, VB.NET, SQL Server, Data Warehousing, Cloud Integration Technologies, ETL Best Practices

snowflake , BigQuery, cloud automation, Data Warehousing, Dimensional Modeling, Sql, Jenkins, Gcp, Terraform, Docker, Databricks, Python, Kubernetes, AWS, Airflow, Infrastructure as Code, DevOps practices, AI-enabled analytics platforms, data orchestration tools, GitHub Actions, Generative AI tools, CI CD pipelines

Java, PostgreSQL, Sql, ELT, Gcp, Docker, Apache Kafka, Azure, Kubernetes, Python, AWS, Etl, ClickHouse, monitoring and observability tools

Git, MySQL, PostgreSQL, Rest Apis, Python, Sql, ELT, Etl