Data AI and GenAI landscape and enterprise adoption patterns, Supporting pursuits and shaping proposals, Leading complex consulting engagements, Working alongside engineering and architecture teams

Ms Excel, Collibra, Power Bi, Power Automate, Tableau, Jira, Service Now, Sql, Data Quality, Agile, Data Governance, Rally, GenAI, AI Agents, Powerpoint, SAFE project methodologies

Data Science, Machine Learning, Azure, Python, AWS, Deep Learning, LLMS

Hdl, Hcm Extracts, Otbi, Oracle Hcm, Bi Publisher, Sql, HSDL

Azure Data Lake Storage Gen2 (ADLS Gen2), Azure Data Factory (ADF), T-sql, Data Modeling, Pyspark, Data Warehouse, Sql, Git, Python, Azure DevOps, Claude Code, Claude, GitHub Copilot, Stored Procedures, Lakehouse, Microsoft Fabric, Fabric Notebooks

Data Management, Data Governance, Data Analysis, Supply chain domain skills, AI-native applications, Data quality frameworks, Business process management

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

snowflake , BigQuery, Power Bi, Tableau, Sql, Python, LangChain, GenAI, semantic layers, LLMs, AI Agents, self-service analytics, AI-assisted analytics, OpenAI APIs, RAG

Cloud Composer (Airflow), BigQuery, Scala, Apache Spark, Dataproc, Sql, Cloud Storage, Terraform, Apache Beam, DataFlow, Python, Pub Sub, GCP AI Platform, Cloud SQL, Vertex AI, Spanner