Performance Tuning, Python, Sql, Devops, Spark, Databricks, tool integration, vector search, MCP APIs, connectors, RAG systems, AI engineering, job orchestration, backend systems, LLMs, Workspace environment setup, Anthropic, embeddings pipelines, infrastructure-as-code, Cost Optimization, Delta Lake, Databricks Genie, OpenAI, data platform engineering, Governance

Sql, Data Warehousing, Kafka, Spark Streaming, Data Security, AWS, Data Integration, Database Management, Nosql, Python, Scala, Documentation and Reporting, ETL Processes, ClickHouse, Collaboration, Data Quality and Governance, Data Pipeline Development, AirFlow, Performance Optimization, AirByte

Spark, Sql, Data Security, Azure Data Factory, Python, Data Governance, Azure Synapse, Scala, Hadoop, Microsoft Fabric, Data Lakehouse

snowflake , BigQuery, Kafka, Redshift, Sql, Spark Streaming, Kinesis, Data Warehousing, Data Governance, Python, Data Ingestion, Data Quality Monitoring, Flink, Event-Driven Architectures, Database Operations

snowflake , Data Governance, Databricks, Sql, ELT, Data Modeling, Gdpr, Java, Tensorflow, Kinesis, Tableau, Kafka, AWS, Etl, Python, Scala, Spark, Airflow, Looker, SOC 2, SageMaker, Real-time streaming

BigQuery, Prometheus, Grafana, Sql, Terraform, DataFlow, Helm, Python, Doris, Apache Iceberg, Airflow, datastream, Debezium, Flink, Cloud Monitoring, Hudi, DataHub, Config Sync, Delta, Dagster

snowflake , Java, Golang, Metadata Management, BigQuery, Data Modeling, Power Bi, Sql, ELT, Apache Airflow, Python, Etl, Data Quality Monitoring, Apache Iceberg, Validation Frameworks, Metabase, SingleStore, Data Lakehouse, dbt, Delta Lake, NiFi

Sql, MySQL, Python, dbt, Airflow, Looker, Prefect, cloud data warehouses

and query tuning., and optimize Snowflake-based data warehouse solutions., • Develop and maintain modular DBT models (staging, and marts)., and Git-based workflows., and architecture teams to deliver reliable data solutions., Security & Performance Optimization ? DBT (Data Build Tool) ? Advanced SQL ? Data Modeling & Data Warehouse Architecture ? ETL / ELT Development ? Snowpipe, Streams & Tasks ? Git & CI/CD ? Unix/Linux Shell Scripting ? Control-M, Streams, Clustering, Autosys, Optimize Snowflake performance using Snowpipe, Tasks, Design, Develop, Intermediate, Build scalable ETL/ELT pipelines, Implement CI/CD pipelines, Analytics, Business, enterprise data models, including Star Schema, Snowflake Schema, and Fact/Dimension modeling, Snowflake Architecture, Airflow, or similar orchestration tools

Github, Sql, Apache Spark, Pyspark, Kafka, Azure Databricks, Python, Azure, Git, Azure DevOps, Airflow, ADLS Gen2, dbt, Synapse Data Factory, Event Hubs