Databricks, Amazon Aurora PostgreSQL

Google Cloud Platform, PowerShell, Saltstack, Jenkins, Cloudwatch, Terraform, Iam, AWS ECS, Azure, Python, AWS, Log Analytics, GitHub Actions, rbac, Trivy, Azure Monitor, Azure Kubernetes Service

Java, Hadoop, Node.js, Kafka, Sql, Javascript, Gcp, Spark, Databricks, DataFlow, Azure, Python, AWS, Big Query, Airflow, Luigi, Flink, CI CD, Beam, Pub Sub, Structured Streaming

Master Data Management (MDM), Power Bi, Pyspark, Agile Scrum, Data Quality, Azure Data Factory, Spark, Data Governance, Python, Git DevOps, Incremental Delta Ingestion, Warehouse, Pipelines, ETL/ELT pipelines, Dataflows Gen2, Dynamics 365 F&O, Relational and star schema modeling, Dynamics 365 CE, Fact and Dimension tables, Lakehouse, Reference Data Management, Microsoft Fabric

Pyspark, Databricks Unified Data Analytics Platform, data quality controls and validation techniques, scalable data processing frameworks, coordinating cross-functional teams, cloud-based data platforms, data migration methodologies and tools

network automation , Load Balancing, Routing, BGP, Cisco Nexus, Jenkins, Git, Terraform, Ansible, OSPF, Python, GitOps, Palo Alto firewalls, Kubernetes networking, Data center networking, Mpls, Switching, GitLab CI, GitHub Actions

Pyspark, BigQuery, Git, Dataproc, DataFlow, Python, Sql, Airflow, CI CD Pipelines, Dataform, GCP Services