pipeline management , Algorithms, Github, Docker, data structures, automation, Python, Scripting, Azure DevOps, Java, configuration management, Gcp, Azure, Kubernetes, Spring Framework, mutual TLS, certificate management lifecycle, large-scale distributed systems, SSH keys, symmetric and asymmetric encryptions, Azure Container Registry, security implementations, GitHub actions, DevOps principles

ECL as per INDAS guidelines, PD LGD EAD models, Data Analysis, Statistical Modeling, credit policy, ML based capabilities

snowflake , Aws Lambda, CSS, PostgreSQL, Dynamodb, HTML, Angular, Typescript, Docker, Gitlab, Python, Etl, Api Gateway, Tailwind CSS, Bootstrap 5, NVIDIA cuOpt

shell scripting, data pipelines, batch processing APIs, pipeline automation tools, large-scale data platform operations

bedrock , Logging, Cloud deployment, Docker, Terraform, Flask, Python, Django, FastAPI, Kubernetes, embeddings, metadata filters, vector databases, Azure OpenAI, CI CD, LangGraph, document ingestion, LLM APIs, search relevance, LangChain, CrewAI, secrets management, Anthropic, retrieval evaluation, Monitoring, Semantic Kernel, RAG, OpenAI, Gemini, environment configuration, LlamaIndex

Spotfire, Data Warehouse, Gcp, Tableau, Sql, data lake structures, ETL processes

Devops, release management, LWC, Automated Testing, Salesforce, API-led integration, event-driven architecture, AI features, Flow