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

Power Bi, Amazon S3, AWS Glue, Dimensional Modeling, Tableau, Sql, ELT, Data Warehousing, Python, AWS, Etl, Teradata

snowflake , Cloud Architecture, Pyspark, Redshift, Sql, Gcp, Api, Databricks, Azure, Python, AWS, cloud-based databases, data integration techniques, Synapse, dbt

, 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 , S3, Kafka, Emr, Redshift, Apache Airflow, Lambda, Spark, AWS, Airflow, Prefect, dbt, Glue

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

Apis, Kafka, Microservices, Distributed Systems, Mulesoft, AWS, AWS Bedrock, streaming systems, AI platforms, enterprise integration platforms, data quality requirements, MCP-based integrations, cloud-native architectures

Git, Azure Data Factory, Azure Synapse Analytics, Scala, Python, Sql, Etl, ELT, Azure DevOps, Azure SQL Data Lake Storage