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

Apache Spark, Databricks, Azure, Sql, Python, CI CD for data pipelines, Delta Lake

Databricks, Informatica, Etl, MTTA, Airflow, MTTR, SLA adherence, Cloud Data Ops

snowflake , Pyspark, Spark, Databricks, Python, Sql, AWS, ELT, Etl, GenAI

snowflake , Databricks, Sql, ELT, Apache Airflow, Pyspark, Etl, Python, Delta Lake, Microsoft Fabric, dbt, Prefect, Dagster, Apache Iceberg, Microsoft Data Factory

Power Bi, Apache Spark, Databricks, Azure, Python, Sql, SODA or equivalent data quality observability tools, CI CD for data pipelines, Delta Lake, Atlan or similar data catalog and metadata platforms

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

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