Sql, Kinesis, Kafka, AWS, Cloudformation, Python, Azure, Gcp, Terraform, Spark, dbt, Airflow, Prefect, Dagster, Pub Sub, DataOps practices

snowflake , Apis, Kafka, Data Modeling, Microservices, Sql, Kinesis, Distributed Systems, Spark, Databricks, Python, Apache Iceberg, Airflow, Flink, dbt, Dagster, Delta Lake, Fivetran

Kafka, Emr, Redshift, Sql, Hive, Spark, Databricks, Airflow, micro-services architecture, scalable data pipelines, column stores, low-latency analytics, Flink, Data Engineering tools, Apache projects, Relational Databases, AWS data services, Athena, streaming pipelines

snowflake , Python, Sql, Apache Airflow, Azure Data Factory, Azure Synapse, Hl7, 837, 835, X12, dbt, FHIR

Spark, AWS, Azure, Scala, Google Cloud Platform, Flink, NoSQL databases, Spark Structured Streaming

Dynamodb, Databricks, Sql, Apache Airflow, CDK, AWS Glue, Apache Spark, Kinesis, Postgres, Kafka, MLops, AWS, Cassandra, Nosql, Python, Terraform, MongoDB, MLflow, Flink

Machine Learning, Pytorch, Python, MLOps tooling, Cloud platforms, Large-scale data systems, Pipeline orchestration, Document AI systems, Layout analysis

Databases, MLops, principal data engineering, Ai frameworks, rag, neutral networks