Google Cloud Platform (GCP), BigQuery, Hadoop Ecosystem, Scala, Apache Spark, Kafka, Data Modeling, Dataproc, Big Data Technologies, Cloud Storage, DataFlow, Etl, Airflow, ELT frameworks, Pub/Sub, Pipeline orchestration

Data Quality (DQ) rules, Metadata Management, Unix, Databricks, Python, Data lineage techniques, Master data management, Data modeling methodologies, Big Data storage architecture

Workflows, Apis, Cloudformation, Pyspark, Sql, Devops, MLops, Terraform, Spark, Databricks, Azure, Python, AWS, Databricks Lakehouse, dbt

Azure Data Factory, Pyspark, Databricks, Sql, Azure DevOps, CI CD workflows, ADLS Gen2, Event Hub, Azure-native technologies, Azure SQL Database

data engineering , snowflake , Data Modeling, Sql, ELT, Apache Airflow, Git, Data Warehousing, Python, Etl, AWS, CI CD, dbt, Cloud Data Platforms

Data Modeling, Redshift, Sql, ELT, Jenkins, Python, AWS, Etl, Airflow, SageMaker, GitHub Actions, dbt, Dagster, CI/CD

Spark SQL, Pyspark, Apache Spark, Sql, Git, Hive, Linux, Hiveql, Data Modelling, Python, Hadoop Hdfs, Apache Iceberg, Parquet, Distributed-system troubleshooting, Spark performance tuning, Source-to-target mapping, Hive Metastore, Large-volume ETL data migration, Data validation reconciliation

BigQuery, Scala, Apache Spark, Kafka, Dataproc, Jenkins, Git, Hive, Gcp, Etl, workflow orchestration tools, CI CD, Pub Sub, GCS

snowflake , BigQuery, AWS Glue, Redshift, Sql, Data Integration, Azure Sql, ELT, Azure Data Factory, Gcp, Data Architecture, Databricks, Azure, Python, AWS, Etl, Airflow, Cloud Data Platforms

Macros, Data Modeling, Pyspark, Sql, Databricks, Data Ingestion, Performance Optimization, dbt Data Build Tool, Materializations, Medallion Architecture, Testing Documentation, CI CD Integration, Unity Catalog, Incremental Models, Delta Lake, Databricks Workflows