stream processing , Java, Golang, Data Transformation, Scala, Kafka, Sql, Spark, data structures, Python, Airflow, NoSQL databases, message queuing, Root Cause Analysis, workload management, big data tools, Relational Databases, unstructured datasets, data sets, metadata dependency, cloud-based data warehouse

, Spark, Databricks, Sql, Emr, Kafka, Hive, Redshift, Athena, Scalable data pipelines, Airflow, Micro-services architecture, Streaming pipelines, Flink, Column stores, AWS data services, Apache projects, Relational Databases

Kafka, Sql, Gcp, Spark, Databricks, Azure, Python, AWS, Airflow, CI CD, Unity Catalog, infrastructure-as-code, dbt, Delta Lake

composer , BigQuery, Spark, Dataproc, Python, Sql, data fusion, DataOps, GCS, Dataform

snowflake , Tableau, Sql, ELT, Data Modeling, Qlik Sense, Power Bi, Etl, Cursor, Data Warehousing, AI-assisted development tools, BI and analytics platforms, Large Language Models, generative AI technologies, Monitoring, operational best practices, data quality controls, Claude Code, GitHub Copilot

Seaborn, Sql, Apache Flink, Apache Airflow, Apache Spark, Pandas, Oracle Database, Presto, Numpy, Tableau, Kafka, Power Bi, Python, Oracle Data Integrator, Scipy, Matplotlib, Oracle Autonomous Data Warehouse, Oracle Analytics Cloud

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

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

Sql, Devops, MLops, Metadata Management, Performance Tuning, Python, Delta Lake, Cloud-native engineering, Infrastructure-as-Code, Cost management, Predictive AI, Data observability, AWS Databricks

Dimensional Modeling, Sql, Python, Sdlc, Aws, IT