data engineering , Digital Transformation, Advanced Analytics, Data Analytics, Machine Learning, Collibra, MLops, Data Governance, AI ML solutions, data platform delivery, Analytics, Apache Atlas, MDM, data lakehouse architecture, cloud-native platforms, agentic AI platforms, agentic AI frameworks, ontology design, enterprise data architecture, Ai, onshore-offshore delivery model, knowledge graph, master data and reference data platforms, LLM-based data products, semantic layer tools, semantic and ontology layers

Databricks, Data Governance, Tableau, Power Bi, Qlik, data integrity, Security, semantic layer, Analytics, data integration concepts, business intelligence, visualization platforms, metrics design, access management, self-service analytics, scalable analytics delivery patterns

snowflake , Ml, Collibra, Power Bi, SQL Server, Tableau, Netezza, Oracle, Python, Etl, Data Virtualization, Data Remediation, Ai, Data Quality Controls

data engineering , Test Automation, Networking, Cloud Infrastructure, Performance Testing, Devops, DevSecOps, Application Security, Release Engineering, SRE, quality engineering, Security, Infrastructure

Intune, SW cataloguing, Vendor performance dashboards, AI driven mindset for E2E Vendor SW performance management, USU SAM platform evolution, SW rationalization, Rayventory, Inventory integration, Data quality and analytics discipline, Financial Management

data engineering , Sql, Databricks, Natural Language Processing, Tensorflow, Full Stack Development, Machine Learning, Pytorch, Artificial Intelligence, Python, Azure ML, Scikit-learn, AWS Sagemaker, Data Analysis, GCP Vertex AI

MLops, Gcp, Incident Management, automation, Scripting Languages, Azure, Kubernetes, data platforms, cloud platforms, Monitoring, infrastructure as code tools, hybrid architectures, CI CD capabilities, Developer Enablement, Platform Engineering, reliability engineering principles

Enterprise Architecture, Data Analytics, Cloud Platforms, Modern Engineering, Ai