Document Databases Working knowledge of MongoDB, ETL Tools Proficiency in Ab Initio GDE EME Co Operating System, Unix Linux Scripting, SQL PL SQL Querying, Testing QA Exposure to SIT E2E and OAT testing cycles, Messaging Systems Experience with IBM MQ Apache Kafka, Agile Delivery Experience with JIRA, Scheduling Tools Familiarity with Tivoli Workload Scheduler TWS, Security Compliance Awareness of access control vulnerability assessments

Git, Power Bi, SQL Server, Dax, Dashboard creation, Microsoft Azure Data Factory

.NET, data warehouses , Spark SQL, Power Bi, Azure Log Analytics, Powershell Scripting, Hive, Azure Data Factory, Data lakes, Microsoft Azure Data platform, Azure SQL Data Warehouse, Azure Storage Services, Azure Application Insights, Data Bricks, Stream Analytics, data marts, Event Hubs, Azure SQL DB, Azure Analysis Services

Git, Power Bi, SQL Server, Dax, Dashboard creation, Microsoft Azure Data Factory

proxmox , Servicenow, Kvm, Windows Server, Prometheus, Grafana, Datadog, Terraform, Vcenter, Python, AWS, Esxi, Vmware Vsphere, PowerShell, Bash, Jira, Ubuntu, Git, Nsx, Ansible, Rhel, Powercli, Vsan, networking fundamentals

Terraform, Pyspark, Python, Sql, GitLab CI, GitHub Actions, LakeFlow, Delta Lake, Solid, Databricks Lakehouse

snowflake , Kafka, ELT, Devops, Spark, Incident Management, Databricks, Restful Apis, Azure, Etl, AWS, Airflow, Monitoring

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

Data Modeling, Hadoop, Power Bi, Pyspark, Big Data, Sql, Hive, Spark Streaming, Dax, Python, Etl, HDFS, Tabular Editor, DAX Studio, Power Query M Language

Data Governance, Data Modeling, Sql, Python, data orchestration workflows, data quality frameworks, distributed data processing frameworks, ETL pipelines