data engineering , cloud-based data services and platforms, data integration techniques and tools, design scalable and efficient data architectures, troubleshooting and optimizing data workflows, data pipeline development and management

Databricks, Data Integration, Etl, ELT, Apache Airflow, Spark, Scala, Python, Pyspark, Sql, Git, CI/CD, Data Pipelines

Azure Data Factory, Microservices, ARM templates, Azure Logic Apps, Azure Functions, Kubernetes, Docker, Terraform, Azure DevOps, Restful Apis, GitHub Actions, AZ-204 Azure Developer Associate, Azure Integration Services, Application Insights, Azure Monitor, Bicep, Azure API Management, AZ-305 Azure Solutions Architect, security best practices, Azure Event Grid, Azure Service Bus, microservices architecture, hybrid integration

ipaas, Workato, Api Integration, Sql, Okta, Iam, Rest Apis, AWS, Secrets Manager, MCP servers, OAuth2 authentication, Active Directory, LLM tool integration, CloudWatch monitoring, rbac, AI connectors, tool connectors, function calling

Soap, Java, Birt, Xslt, REST, Reports, Git, Scrum, Agile, Data Modeling, Eib, Soql, Web Services, Document Transformation, Workday Security, Prism data pipelines, Integrations framework, AWS Tech Stack, Calc Fields, Studio, Workday integration technologies, Accounting Center transformations, force.com, WD extend, Core Connectors, Business Processes, connectors, relational database languages SQL, accounting rules