Java, BigQuery, Hive, Spark, Python, Linux systems

T-sql, Azure Data Bricks, Pl Sql, Sql, Azure Data Factory, Azure Functions, Azure Data Lake, Databricks, Cosmos DB, Python, Analysis Services, Logic Apps, Azure SQL Database, App Service, Delta Lake, Blob Storage

Automated Testing, ELT, Python, Apis, Sql, Git, Data Quality, Spark, Databricks, Etl, file-based integration, lineage, CI CD, access controls, metadata, observability, data pipeline development, workflow orchestration, event processing, data contracts, Unity Catalog, data models, transformations, Delta Lake, cloud data platforms

bigtable , Pyspark, PostgreSQL, Kafka, Avro, Cloud Storage, Terraform, Docker, Elasticsearch, Python, Spark SQL, Java, BigQuery, Google Cloud Platform, Scala, Apache Spark, Dataproc, Sql, Oop, DataFlow, Kubernetes, Airflow, Pub Sub, Cloud Composer, Parquet

Java, BigQuery, Hadoop, Data Modeling, Kafka, ELT, Microservices, Data Quality, Hive, MLops, Spark, Databricks, Data Governance, Python, Kubernetes, Etl, Airflow, HDFS, Delta Lake, CI/CD

Simple Storage Service (S3), Hadoop, Prometheus, Kafka, Grafana, Hive, Terraform, Spark, Elastic Search, Oozie, Kubernetes, Airflow, Flink, NoSQL Databases

.NET, snowflake , Data Quality, React, Data Modeling, Apache Kafka, Python, Sql, AWS

PostgreSQL, Apache Airflow, Nlp, Hl7, MongoDB, Python, Etl, LangChain, FHIR, Milvus Vector DB, GraphRAG, RAG, Azure technology stack, LlamaIndex

snowflake , Performance Tuning, Data Modeling, Azure Data Factory, Gitlab, Azure, AWS, Airflow, Apache Iceberg, Data Quality standards, Lakehouse architectures, Data Validation, CI CD, Workflow orchestration, dbt, Scalable data product development, workload management, Metadata-driven pipelines