S3, Dynamodb, Sql, Python, AWS, Airflow, Parquet, WebDataset, tfrecord, Lake Formation, Glue, Delta Lake, Apache Hudi, Athena

snowflake , Sql, ELT, Nosql, Docker, Gitlab, Databricks, Rest Apis, Kubernetes, Python, Azure DevOps, Etl, GitHub Actions, Microsoft Fabric

snowflake , PowerShell, Kafka, Azure Databricks, SSIS, Sql, ELT, Git, Azure Data Factory, Azure Synapse Analytics, Python, Azure DevOps, Etl, Event Hub, Azure Service Bus

snowflake , BigQuery, Data Modelling, Kafka, Redshift, Sql, ELT, Hive, Kinesis, Docker, Terraform, Presto, Spark, Python, AWS, Etl, snowflake schema, Airflow, Pubsub, Flink, Trino, Delta Lake, Structured Streaming

PowerShell, Sql, PI Data Archive, PI 800xA, PI Batch Interface, PI BMI Interface, PI Asset Framework, PI Interfaces, TIMS HP-ALM Testing tool, PI RDBMS Interface, PI to PAS-X Interface

Java, Scala, Restful Apis, Python, Sql, OLAP and OLTP systems, big data engineering

Apache Flink, Data Modelling, Scala, PostgreSQL, Apache Spark, Schema Design, Sql, Devops, Hive, Spark Streaming, Docker, FastAPI, Python, Kubernetes, Parquet, Apache Iceberg, data security standards, data architecture principles, AI concepts and tools, cloud data platforms, Podman, ETL tools and frameworks, data pipeline orchestration

Azure Cosmos DB, Azure Synapse Analytics, Data Modeling, SQL query optimization, Azure SQL Database

Azure Synapse Analytics, Sql, Github, Apache Spark, Scala

data discovery , Metadata Management, Kafka, Slas, Data Modeling, Python, Data Lineage, Google Cloud Platform, Sql, Query Optimization, Data Quality, Clustering, cdc, data pipelines, observability practices, dimensional models, Google BigQuery, data versioning, Pub Sub, data lakehouse principles, streaming architectures, Parquet, SCDs, AI ML use cases, SLOs, partitioning, Google Cloud Storage