Devops, Cloud Infrastructure, Automation, Kubernetes, Platform operations, Platform engineering, Infrastructure-as-Code, Observability, Enterprise AI platform

data control , Data Quality, Data Governance, Generative AI, Data Risk

Databricks, Azure Machine Learning, Python, Sql, SageMaker, model evaluation practices, data pipelines, software architecture principles, Responsible AI tooling, AI governance tooling

Data Governance, data models, entity management, Azure-based environments

AWS, Aml, Gcp, Azure, CDD, EDD, NICE Actimize, Investigations, Sanctions Screening, FATF, Fenergo, Quantexa, FinCEN, bsa, Pega, Kyc, Transaction Monitoring, Onboarding, EU regulations, ACI World-Check, FCA, SAR reporting, SAS AML, AMLD

Gdpr, Collibra, Power Bi, Tableau, Informatica, Sql, Sap Mdg, Microsoft Azure, Talend, BCBS 239, DAMA-DMBOK, Alation, SAP Master Data Governance, Looker, CCPA, Ataccama, Microsoft Purview, Cobit, Microsoft Fabric, ISO IEC 27001

Ml, Predictive Analytics, Natural Language Processing, Sql, Python, project management, generative AI, Ai, recommendation engines, data and analytics, knowledge retrieval, R, workflow automation

Databricks, Azure, modern AI product architectures, Salesforce, SAP ecosystem, LLMs, generative AI, agile product teams, AI integration patterns, Azure OpenAI, MLOps practices, AI product development

Shell, Python, Linux, Configuration Management, Release Engineering, Production Engineering, CI CD, Platform Engineering, DevOps SRE, Infrastructure Automation, Networking Fundamentals