Apache Airflow, Metadata Management, Pyspark, Data Lake, Big Data, Data Warehousing, Data Governance, Sql, AWS

snowflake , Data Modelling, Power Bi, Csv, Tableau, Json, Redshift, Sql, Database Design, ELT, Azure Data Factory, Postgres, Databricks, Python, Aws S3, Etl, Parquet, Lambda functions

Etl, ELT, SQL Server, Data Warehousing, Azure Data Factory, Dimensional Modeling, Data Quality, Data Governance, Git, Azure DevOps, Microsoft Fabric, Data Warehouse Design, Data Orchestration, Fabric Data Factory

Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Etl Development, Python, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Reconciliation Frameworks, Data Validation

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

Pyspark, PostgreSQL, AWS Glue, Nosql, Numpy, Terraform, Python, AWS, Pyspark, Cloudformation, Dynamodb, Data Architecture, Sql, Pandas, Aws Cli, Amazon Redshift, Apache Kafka, Databricks, Kubernetes, Airflow, AWS CDK, Dask, dbt, Modern data processing frameworks, Iceberg, Cloud-native solutions, Data lake architectures, Delta Lake

.NET, Java, Scoop, Hadoop, Redux, Scala, SQL Server, Spring Boot, Impala, Sql, React, Hive, Typescript, Spark, Python, Airflow, NiFi

Powershell Scripting, Sql, Azure Synapse, Git, Azure Data Factory, Azure Data Lake, Databricks, Sap Odata, Etl, Azure Blob, Agile Software Development methodologies, Azure Storage Explorer, Data Factory pipelines, streaming technologies, SQL stored procedures

containerization , Gcp, Aws Services, Python, Azure, feature store, model registry, MLOps architecture, data ingestion, cloud platforms, alerting systems, data pipelines, DevOps principles

snowflake , Etl Tools, Tableau, Data Governance, Python, Sql, Compliance best practices