Java, Kafka, Gcp, Azure, Python, AWS, data streaming platforms, event-driven systems, Go, distributed data storage, public cloud providers, microservices architecture, database scaling, AWS Kinesis

PostgreSQL, Kafka, Azure, Oracle, Kubernetes, Redis, AWS, Infrastructure-as-Code, Kong, CI CD

Backup, cloud security, Vulnerability Management, virtualization, Networking, Storage, DevSecOps, Iam, Microsoft Azure, Containers, automation, Kubernetes, AWS, Infrastructure as Code, SRE practices, observability

Azure ML, MLops, Python, LangChain, Generative AI, LLMs, LLMOps, Model Fine-tuning, Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, Agentic AI, RAG, AI Search

Advanced Analytics, Power Bi, Tableau, Data Architecture, Gcp, Predictive Modeling, Azure, AWS, Cloud data platforms, Business intelligence, Business Retail Analytics, Data Strategy, Leadership, data infrastructure, Stakeholder Collaboration, AI ML model deployment

Cloud platforms (AWS/Azure/Google Cloud), Cybersecurity, Sdlc, Application Development, Technology audit, itgc

Sql, Containers, Deep Learning, Tensorflow, Hadoop, Tableau, Kafka, MLops, Data Science, Pytorch, Gcp, Natural Language Processing, Apache Spark, Machine Learning, Cloud Computing, AWS, Powerbi, Python, Kubernetes, Azure, Docker, Nlp, Llm, Ai, GenAI, CI CD, Statistics, Scikit-learn, R

data engineering , Ml, Data Science, Cloud Technologies, Gcp, Azure, AWS, Generative AI, Machine Learning Techniques, Statistical Modeling, Ai

snowflake , Alteryx, Tableau, Informatica, ELT, Data Lake, Python, AWS, BigQuery, Power Bi, Collibra, Redshift, Sql, Azure Data Factory, Gcp, Qlik, Data Governance, Databricks, Azure, Etl, Purview, Alation, enterprise common data models, Synapse, lakehouse design, dbt

.NET, Agile Methodologies, AWS, Microsoft ecosystem, Scrum frameworks, cloud platforms