data engineering , snowflake , Monitoring Tools, Sql, Ml, Data Modeling, Data Lineage, Data Governance, Apache Spark, AWS, Python, Metadata Management, Microsoft Azure, Google Cloud Platform, Airflow, dbt, Ai, data cataloging, cloud data platforms, Informatica CDGC, data observability

Azure Databricks, Tensorflow, Pytorch, Docker, Terraform, Flask, Python, Azure DevOps, Git, Azure Data Factory, MLops, FastAPI, Azure Machine Learning, Kubernetes, Azure Data Scientist Associate, MLflow, App Insights, Azure AI Foundry, Azure Cognitive Services, Azure AI Engineer Associate, RAG architecture, LLMOps, Scikit-learn, prompt engineering, Synapse, Microsoft Fabric, Azure Monitor, ETL workflows

Azure Machine Learning, Python, CrewAI, LangChain, MLOps best practices, Azure Data Compute services, Azure OpenAI Service, Google ADK, Azure AI Search Cognitive Search

Redis, FastAPI, Docker, PostgreSQL, AWS Bedrock, async Python, Anthropic Claude, Azure OpenAI, LangGraph

Tensorflow, Lambda, Pytorch, Kubernetes, ECS, Terraform, Docker, Pinecone, EKS, OpenSearch, Hugging Face, AWS SageMaker, Step Functions, LangChain, FAISS, Transformers

snowflake , Java, Apache Spark, Kafka, Json, Avro, Sql, Databricks, Sybase Iq, Kubernetes, Python, Parquet, Apache Iceberg, CI CD tooling, Hadoop ecosystem technologies

Java, C, Javascript, Python, AI ML systems

testing practices , MLops, Coding Standards, Gcp, AWS, Data Modelling, Azure, Apis, multi-agent systems, LLMs, data quality validation, ontologies, drift detection frameworks, LLMOps, entity resolution pipelines, transformation and enrichment pipelines, RAG, Batch Processing, AI-driven applications, cloud-native architectures, knowledge graphs, real-time streaming, data ingestion, lakehouse patterns, AI microservices, intelligent automation pipelines