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

snowflake , Python, Sql, ELT, Etl, Airflow

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

data warehouses , Scala, Kafka, Sql, Devops, Git, Azure Data Factory, Gcp, Spark, Azure, Python, AWS, Airflow, Data Lakes, Lakehouse architectures, Dagster

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

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

snowflake , BigQuery, Hubspot, Python, Sql, Salesforce, Airflow, Metabase, Airbyte, Iterable, dbt

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

Kafka, Sql, Iam, Spark, Databricks, Python, CDC tools, dbt, Event Hubs, Delta Lake, Azure data services, infrastructure as code

Sql, Rabbitmq, Java, Tensorflow, Lambda, Hadoop, Kafka, Pytorch, RESTful, Gcp, Scala, S3, AWS, Python, Bash, Kubernetes, Azure, Graphql, Docker, Redshift, Spark, OpenMetadata, Metabase, Flink, Glue