Aml, release management, Performance Tuning, Workflows, Soap, Automated Testing, Data Modeling, ELT, Git, REST, Plm, Identity, Permissions, middleware, Etl, Source Control, Aras Innovator, event-driven patterns, Methods, CI CD, client server scripting, enterprise integrations, Troubleshooting

pipeline management , Java, Docker, API design, Microservices, Backend service development

Azure Data Factory, Pyspark, Sql, Spark SQL performance tuning, Delta Lake, Azure Data Lake Storage Gen2, Microsoft Azure Databricks, CI CD, Git-based workflows, Spark architecture

Pyspark, Kinesis, Terraform, Python, Emr, Pulumi, Apache Kafka, Databricks, DataFlow, Aws S3, Apache Iceberg, Pub Sub, High-Throughput Message Bus, Apache Atlas, Azure ADLS Gen2, Event Hubs, Apache Hudi, MCP Server Foundation, Multi-Cloud Enablement, Unity Catalog, Synapse, DataHub, Glue, Delta Lake, GCP BigQuery, Athena

Rabbitmq, Data Security, Kafka, Infrastructure Management, ETL frameworks, Airflow, large-scale messaging systems, dbt, workflow or orchestration frameworks, metrics stores

compaction , S3, Kafka, Data Modeling, Typescript, Docker, Terraform, Python, AWS, Cloudformation, Data Quality, ECS, Spark, Kubernetes, Data lakes, Apache Iceberg, Access Control, Data observability, Go, Flink, Partitioning, Streaming pipelines, Data ingestion frameworks, Lakehouse architecture, Data serving layers, Schema evolution, Governance, Data isolation, Pipeline monitoring

snowflake , Java, Apache Spark, Kafka, Json, Avro, Sql, Databricks, Sybase Iq, Kubernetes, Python, Parquet, Apache Iceberg, CI CD tooling, Hadoop ecosystem technologies

data engineering , Analytics Delivery, Graphql, Spark, Rest Apis, Data Architecture, Sql, Python, Event-driven design

bigtable , Java, BigQuery, PostgreSQL, Scala, Sql, Redis, Spark, Apache Kafka, MongoDB, DataFlow, Python, datastream, Airflow, Debezium, Pub Sub, CDC tools, dbt, GCS, GCP stack, Spanner

Cloudformation, Java, Python, Apache Spark, Terraform, Scala, Kafka, Delta Lake, Apache Iceberg, AWS EMR, Debezium, Trino