Java, T-sql, Hadoop, Scala, SQL Server, Kafka, Sql, Jenkins, Azure Data Factory, Docker, Terraform, Spark, Databricks, Azure, Kubernetes, Python, AWS, Airflow, ATLAS, Great Expectations, Glue, Delta Lake

Machine Learning, Kafka, Data Modeling, Sql, Kinesis, Gcp, Azure, Python, AWS, Airflow, warehouse design patterns, Flink, lakehouse platform, analytics reporting, data models, dbt, cloud data warehouse, streaming architecture, data transformation pipelines

Gcp, Databricks, Sql, Apache Spark, Kafka, AWS, Python, Azure, Terraform, Scala, Git, AI-assisted development tools, ML engineering, event-driven systems, data security principles, NoSQL databases, data governance frameworks

data sharing , snowflake , semantic modeling , Spark, Sql, Java, Kinesis, Kafka, Python, Scala, MetricFlow, dbt, Delta, Query Performance, Iceberg, cloud data warehouses

vectorization , Apis, Microservices, Python, LLM optimization, Knowledge Artifacts, Prompt engineering, AI Governance, Multi-LLM Strategy, Observability frameworks, Taxonomy Engineering, semantic search, GenAI Development Integration, Data Lakehouse, Agent-based orchestration, Document parsing, Model gateways, Cost Optimization

snowflake , Gdpr, T-sql, Spring Boot, Kafka, Hipaa, Java Collections, Kinesis, Terraform, Python, Java, BigQuery, Scala, Redshift, Sql, Spring, Spark, Databricks, Airflow, Debezium, SOC 2, Flink, Prefect, Hudi, DPDP Act, Iceberg, Dagster, Delta Lake, Pulsar

change data capture , Java, Hadoop, Scala, Kafka, Sql, Spark, Aws Cloud, Python, Airflow, Pinot, Flink, Iceberg, Trino

Golang, Google Cloud Platform, Python, Sql, GenAI models, Google BigQuery