Cloudformation, Pyspark, Sql, Terraform, Spark, Databricks, Python, AWS, AWS CDK, CI CD, DataOps, Delta Lake

data engineering , Orchestration, Kafka, Python, AWS, Sql, Spark Streaming, Gcp, Spark, lakehouse, Airflow, Reliability, lineage, Flink, data quality governance, unified data platforms, streaming architectures, feature stores, cloud data infrastructure, Warehouse, self-serve tooling, Transformation, dbt, Dagster, ingestion, distributed data processing

data engineering , snowflake , Unix, Gdpr, Power Bi, SQL Server, Hipaa, Tableau, Netezza, Sql, Qlik Replicate, Oracle, Python, Airflow, Teradata, CCPA, Snowpark, dbt

, 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

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

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

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

snowflake , Kafka, Data Modeling, Kinesis, Terraform, AWS, Cloudformation, Sql, Gcp, Data Governance, Databricks, Azure, streaming tech, MLflow, IaC, Pub Sub, Kubeflow, MLOps tools, RAG pipelines, LangChain, Gen AI frameworks, NoSQL databases, cloud platforms, AI ML architectures, security and compliance frameworks