Pyspark, AWS Glue, Data Modeling, Emr, Avro, Autosys, Sql, Cloudwatch, Terraform, Etl Tools, Databricks, Python, AWS, Airflow, Parquet, AWS Lake Formation, Iceberg

Java, Python, AWS Analytics, data modeling and database design, data warehousing concepts and architecture, data governance and data quality frameworks

data engineering , AWS Glue, Data Modeling, Sql, Etl, Step Functions, Airflow, IAM roles and permissions

snowflake , Github, Data Modeling, Buildkite, Cloudformation, Sql, Apache Airflow, Jenkins, Git, Terraform, Data Warehousing, Python, Azure DevOps, Infrastructure as Code, AWS Cloud Services, CI/CD Pipelines, GitHub Actions, dbt, AWS IAM Security and Monitoring

data engineering , snowflake , Data Modeling, Sql, Python, AWS, Etl

Spark SQL, Apis, Pyspark, Sql, ELT, Azure Synapse, Devops, Azure Data Factory, Databricks, Data Governance, Python, Etl, Z-ordering, Data Partitioning, Bucketing, Streaming Data, Delta Lake, Liquid Clustering, Batch Processing, Indexing

Java, Rust, Hadoop, Pyspark, Apache Spark, Sql, Gcp, Data Governance, Azure, Python, AWS, R, ETL architectures, data security best practices

data engineering , Data Factory, Query Optimization, Data Modeling, Pyspark, Performance Tuning, Data Migration, Data Architecture, Data Governance, Data Quality, Data Ingestion, OneLake, Spark Notebooks, Troubleshooting, Reconciliation, Azure Event Hubs, Eventhouse, Azure IoT Hub, Monitoring, Transformation Pipelines, Validation, KQL, Fabric Real-Time Intelligence, KQL DB, Eventstreams, Lakehouse, Microsoft Fabric, Production Support

Orchestration, S3, Metadata Management, Pyspark, PostgreSQL, Automated Testing, Data Modeling, Lambda, Advanced Sql, Python, RDS, release management, Dynamodb, SQL Server, Redshift, Data Quality, ECS, transformation standards, CI CD, AWS data services, ETL best practices, data cataloging, Step Functions, Monitoring, large-scale data processing, Glue