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

S3, RDS, Pyspark, Databricks, Emr, Redshift, Python, Sql, AWS, Etl

Java, Unix, Apache Flink, Data Modeling, Schema Design, Pyspark, Data Cleansing, Apache Spark, Data Warehouse Concepts, Shell Scripting, Sql, ELT, Apache Airflow, Linux, Apache Kafka, Restful Apis, Python, Etl, Data Transformation, Data Quality Validation

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

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

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

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