Data Warehousing, Azure Databricks, Azure Sql, Azure Data Factory, Data Visualization, Data Lake, big data handling, data integration workflow orchestration, distributed processing, ADLS Gen2, Microsoft Azure data stack, data querying and manipulation, data analysis programming language, business intelligence, cloud data platform, lakehouse storage architecture, data-model lifecycle, data-cleansing automation, ETL ELT design, statistical methods

Databricks, Sql, Pyspark, Data Migration, Data quality frameworks, Cluster configuration, Ingestion strategies, Data validation and reconciliation, Delta Lake, Spark performance tuning, Partitioning strategies, Agile delivery processes, Git-based CI/CD, Medallion-layer design, Delta optimization

, Spark, Databricks, Sql, Emr, Kafka, Hive, Redshift, Athena, Scalable data pipelines, Airflow, Micro-services architecture, Streaming pipelines, Flink, Column stores, AWS data services, Apache projects, Relational Databases

Databricks, Python, Devops, Apache Spark, Pyspark, Azure DevOps, Microsoft Azure Cloud

Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar

Python, ROS, ROS2, annotation workflows, multi-modal sensor data, data ingestion, data quality pipelines

Kinesis, Docker, Terraform, Kafka, Python, Sql, ClickHouse, QuestDB, TimescaleDB, MSK, Redpanda

Gcp, Sql, Java, Rest Apis, Kubernetes, Python, Azure, Git, Cognite Data Fusion®

Azure Synapse Analytics, Java, Pyspark, Scala, Apache Spark, Sql, ELT, Data Quality, Devops, Git, Rest Apis, Data Governance, Python, Etl, Microsoft Azure Data Services, Azure SQL Database

Apache Spark, Sql, Databricks, Big Data Technologies, Data Warehousing, Data Modelling, Azure Data Factory, Python, PowerShell, Microsoft Purview