Pyspark, Data Warehousing, Apache Spark, Kafka, Data Modeling, Sql, ELT, Agile, Databricks, Python, Etl, AWS, distributed data processing

Pyspark, Data Warehousing, Apache Spark, Kafka, Data Modeling, Sql, ELT, Data Quality, Data Governance, Agile, Databricks, Python, Etl, AWS, operational monitoring, Security, distributed data processing

Javascript, Java, Kafka, Node.js, Sql, ELT, Gcp, Docker, Cicd, Spark, DataFlow, Azure, Kubernetes, Python, AWS, Etl, Airflow, Luigi, Flink, CI CD, Beam, Confluent, Pub Sub, Structured Streaming

Azure Data Factory (ADF), Pyspark, Databricks, Sql, Databricks Unity Catalog, CI/CD using Azure DevOps

Distributed Systems, Data Architecture, Java, Apache Airflow, Nosql, Gcp, Hadoop, Scala, Spark, Python, AWS, Software development best practices, Big data platforms, Data pipelines, Luigi, Cloud platforms

Distributed Systems, Data Architecture, Java, Apache Airflow, Nosql, Gcp, Hadoop, Scala, Spark, Python, AWS, Software development best practices, Big data platforms, Data pipelines, Luigi, Cloud platforms

Odbc, Azure Data Factory, Xml, Databricks, Soap, Rest Apis, Python, JDBC, Sql, Data Profiling, Data Transformation, Azure Service Bus, Canonical data modelling, Enterprise MDM platforms, Data Mapping, Documentation standards, Batch ingestion pipelines, Data Validation, Event-driven integration patterns, CI/CD pipelines, Source Control, dbt Core or Cloud