Data Governance, Data Warehousing Concepts, data storage solutions, ETL processes, data integration techniques, data quality best practices, Microsoft Azure Databricks

Amazon Web Services (AWS), Java, Hadoop, Scala, Nodejs, Emr, Data Modeling, Sql, Hive, Spark, Python, Agentic AI tools, AI code generation tools, ETL pipelines

Apache Airflow, Postgis, Docker, PostgreSQL, Apache Spark, Python, Sql, DuckDB, TimescaleDB

data vault , snowflake , BigQuery, Sql, Python, Airflow, AWS ecosystem, Airbyte, 3NF Dimensional Models, AWS Firehose, Looker, dbt, Superset, ETL pipelines

data engineering , GenAI | RAG | LLM | Agentic AI ? MLOps / LLMOps | Production AI ? FastAPI / Flask | APIs | Docker | Kubernetes ? RAG, AWS, Azure, Gcp

Common Table Expressions (CTEs), snowflake , BigQuery, PostgreSQL, Scala, Pyspark, SQL Server, Google Cloud, Apache Airflow, Azure Synapse, Databricks, Microsoft Azure, Advanced Sql, Python, AWS, Complex JOIN operations, dbt

Spark SQL, Pyspark, Azure Databricks, Sql, Encryption, Python, Lakehouse architectures, Delta Live Tables, Unity Catalog, rbac, CI CD pipelines, Delta Lake, Databricks Workflows

Spark SQL, Distributed Computing, Pyspark, Apache Spark, Data Governance, Data Warehousing, Sql, ELT, Gcp, Agile, Databricks, Azure, Python, Etl, AWS, Databricks certification, Streaming frameworks, Auto Loader, Unity Catalog, Delta Lake, Lakehouse architecture, CI/CD for data pipelines