data engineering , Orchestration, Data Services, Distributed Systems, Azure, AWS, data pipelines, IQVIA, Monitoring, MDM, Claims, integration patterns, CRM

containerization , Microservices, Python, chatbots, Monitoring, APIs and integration patterns, copilots, backend system design, Production Systems, enterprise integration patterns, Generative AI, AI assistants

Nodejs, API design, Django, React, Typescript, Distributed Systems, FastAPI, Nestjs, Python, Agile delivery, cloud environments, service-oriented architectures

Data Modelling, Distributed Systems, System Design, Spark, Python, Sql, orchestration frameworks, platform engineering, streaming platforms

Deep understanding of data and analytics, Understanding of insurance domain including associated process applications and platforms, Financial acumen and experience in building business cases

snowflake , Ml, ELT, Data Architecture, Ansi Sql, Tableau, Power Bi, Etl, Agile Development, Ai, Looker, Sigma, dbt

snowflake , Ml, Power Bi, Tableau, ELT, Agile Development, Data Architecture, Ansi Sql, Etl, Sigma, Ai, Looker, dbt

MLops, Enterprise Architecture, Azure DevOps, RAG systems, LLMs, GitHub Actions, AI observability frameworks, Langfuse, Agentic AI systems, Agent memory systems, Multi-agent orchestration frameworks, LLMOps, Opik, Weights Biases, Data Platforms, Azure AI Studio

snowflake , Hadoop, Kafka, Automated Testing, Apache Airflow, Docker, Helm, Kubernetes, Fairlearn, SHAP, orchestration technologies, TFX, model versioning, SageMaker, LIME, Kubeflow, monitoring using MLflow, MLOps tools and practices, data engineering principles