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

data engineering , S3, Amazon Web Services, Dynamodb, Tableau, Microservices, Elasticsearch, Software Engineering, Spark, Databricks, Restful Apis, Python, Spark-Streaming

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

Python, Kafka, MongoDB, OLAP/Data Pipelines, Apache Presto

Google Cloud Platform, Scala, Pyspark, Json, Avro, Sql, Git, Spark, Python, Google DataFlow, Google BigQuery, PARQUET

snowflake , Databricks, Microservices, Automated Testing, Reactjs, Azure, Git, Oracle Pl Sql, CI CD integration, distributed processing frameworks, frontend technologies, data pipelines, data Lakehouse, containerized applications, AI tools

snowflake , Algorithms, Databricks, Microservices, Automated Testing, Reactjs, Accessibility, Agile Methodologies, Coding Standards, Azure, Git, Oracle Pl Sql, data structures, CI CD integration, distributed processing frameworks, data pipelines, frontend architecture design patterns, data Lakehouse, modern frontend technologies, containerized applications, unit testing strategies, AI tools, UI performance optimization

data engineering , Sql, Data Factory, Cloud Storage, Cloud Engineering, DataFlow, Apache Beam, BigQuery, Power Bi, Etl, Dataproc, Gcp, ELT, Machine Learning, Python, Microservice Architecture, Data Modeling, Spark, Azure Fabric, Airflow, Monitoring, Ai, Synapse, OneLake, Pub Sub, Lakehouse Architecture, Cloud Composer, AI-driven Applications, Observability