Apache Spark, Azure Databricks, Data Modeling, Data Warehousing, Python Programming, Azure Data Factory, Git Version Control, BI tools integration, Azure Blob Storage, Denormalization, Strong SQL skills, Azure Data Lake Storage, Building scalable ETL pipelines, Normalization

Golang, shell scripting, Linux, MySQL, MongoDB, Python, Kubernetes, Data Processing, message queues, ETL pipelines

Networking, PowerShell, Veeam, Ansible, Commvault, Microsoft Azure, Azure, Python, Virtualization, Azure DevOps, On-premises storage systems, Hybrid cloud environments, Multi-cloud strategies, Compliance standards, Data Protection Engineering, Rubrik, Azure CLI

snowflake , workflow management , Data Architecture, Databricks, Apache Airflow, Java, Kafka, AWS, Etl, Python, Azure, Gcp, Scala, Spark, Advanced Sql, Flink, Cloud Datawarehouses, Cloud certifications, Big Query

data engineering , Kubernetes, Big Data Technologies, S3, MLops, Etl, Cloud Services, Python, Docker, EKS, Athena, Infrastructure as Code, Glue, Containerized application development

snowflake , Azure, Databricks, AWS, Azure Data Factory, Python, Apache Spark, Docker, Gcp, Terraform, Apache Kafka

Collibra, Prometheus, Apache Spark, Grafana, Azure ML, Gcp, MLops, Terraform, Ansible, Apache Kafka, Databricks, Azure, Kubernetes, MLflow, Microsoft Purview, Vertex AI, Kubeflow, Google Dataplex

Apache Airflow, AWS Athena, Pandas, Linux, Numpy, Python, Gcp, Scipy, Spark, Apache Druid, scikit-learn, Google BigQuery, Imply, MLlib