data engineering , graph databases , Java, Machine Learning, Automated Testing, Cloud Infrastructure, Devops, React, Ruby On Rails, Gcp, Docker, Neo4j, Azure, Kubernetes, Python, AWS, API-first Architectures, Ai, CI CD, Agile Delivery Practices, Amazon Neptune

data engineering , Apache Hadoop, Database Optimization, Agile Scrum, Jira, Clarity, Database Management System Dbms, Data Integration, Apache Airflow, Azure Data Factory, Confluence, Azure DevOps, Databricks Unified Data Analytics Platform, Database Security Best Practices, SAFe Scaled Agile, data infrastructure, MS Project

Apis, Google Cloud AI, Generative AI, AWS AI ML, Prompt Engineering, AI application development, RAG, Development frameworks, Azure OpenAI, Generative AI platforms

Oracle, Oracle HCM Cloud, HR application interfaces, Conversational bots, Agile principles, methodologies and tools, HR processes

Power Bi, Tableau, Python, Sql, LLMs, Ai, Workforce Analytics methodologies

Java, Gcp, Python, AWS, AI tools, DevOps practices, CI CD pipelines, Go, monitoring observability tools

containerization , Microservices, Data architecture principles for AI-ready systems, Vector databases, Semantic search technologies, API design and integration patterns, Agentic design patterns, AI-assisted development practices, Responsible AI practices and governance, Engineering modernization, AI ML technologies and frameworks

data engineering , snowflake , Github, Data Modeling, Dimensional Modeling, Pl Sql, ELT, Devops, Data Warehousing, Azure, Python, AWS, Etl, Cloud-native Integrations, Matillion, CI CD, Cloud Data Platforms, Immuta