data engineering , Oauth, Cloud security, Cloud Technologies, Data Warehousing Concepts, Identity Management, Sso, Software Engineering, Agile Development, Data Modelling, Master data management, Data technologies landscape, ETL processes, Customer 360 degree views

data engineering , snowflake , Bi Tools, Data Integration, Sql, Google Cloud, Databricks, Data Warehousing, Data Analytics, AWS, Product Management, Business Analysis, Agile Delivery Methodologies, dbt, Azure Data Platform, Cloud Data Platforms, Fivetran

, Identity Management, Agile Development, Data Warehousing, Oauth, Data Modelling, Cloud security, Software Engineering, Cloud Technologies, Sso, ETL processes, Customer 360 degree views, Master data management, Data technologies

containerization , bedrock , Deep Learning, S3, Aws Services, Lambda, Python, Kubernetes, Orchestration, Version Control, Docker, Git, Nlp, Athena, EKS, LLMs, GenAI, vector stores, SageMaker, ML frameworks, RAG agentic architecture, Classical ML

Python, Sql, Pyspark, Google Cloud Platform, BigQuery, DataFlow, Dataproc

snowflake , BigQuery, Pyspark, Kafka, Redshift, Sql, Apache Airflow, Neo4j, Databricks, LangChain, Batch and streaming pipeline design, Warehouse internals, Data modelling paradigms, Unity Catalog, LangGraph, Dimensional data vault, dbt, Delta Lake, Data quality frameworks, Data Engineering fundamentals, Medallion architecture

data engineering , Kafka, Azure Data Factory, Azure Synapse Analytics, Spark, Databricks, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric

data monetization , MLops, Data Governance, Kubernetes, AWS, API-first design, MCP servers, Data Mesh architecture, chaos resilience testing, cloud-native Data Platform services, IaC, agentic services, data streaming stacks, SDD, Gen AI solutions, observability