Machine Learning (ML), Artificial Intelligence (AI), Hadoop, Pyspark, Autosys, Sql, Angular, React, Spark, Python, Data Architecture, Metadata Management, DevOps practices, Flink, Copilot AI tool, Distributed data processing, Model context, Platform modernization, Performance optimization, Production support models, CI/CD pipelines, Agentic frameworks and flows, Enterprise controls, Data quality frameworks, Generative AI models, Protocol MCP

Gcp, Python, Pyspark, DataFlow, Etl

Java, Github, Linux Shell Scripting, Ibm Cloud, Css3, Jenkins, React, Git, Typescript, Gcp, Docker, Terraform, Ansible, Html5, Openshift, Azure, Kubernetes, Python, AWS, Go, Podman

Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) governance, Agent Development Kits (ADKs), Google Cloud Platform, Python, Cloud-based data solutions, Data lakes, Agentic AI architectures, Enterprise data warehouses, Enterprise cloud architecture, LLM-powered solutions, Enterprise guardrails, Gemini Enterprise, Microservices applications, intelligent agents, Data pipelines, AI security, Generative AI applications

Docker, Microservices, Django, Swagger, AWS, FastAPI, Python, Azure, Gcp, Flask, Git, MongoDB, Restful Apis, OpenAPI

Spark, Gcp, Azure, Python, Sql, AWS, ClickHouse

Git, AWS, Agile, Python, Azure, React, Google Cloud Platform