Spark, Data Warehousing, Azure, Python, Sql, AWS, Etl, data integration and orchestration tools

Databricks, Azure Databricks, Sql, Apache, Pyspark

data engineering , Sql, Etl

snowflake , Sql, Databricks, Mq, Csv, Devops, Json, Pyspark, Kafka, Spark Streaming, AWS, Python, Xml, Postgres, Text, Parquet, CI CD, Delta, MLFlow, git-based version control, Spark structured streaming, Agentic AI

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

Spark SQL, T-sql, Elk, PowerShell, Prometheus, Kafka, Bash, Grafana, Hana, Sql, Git, Linux, Terraform, Databricks, Splunk, Azure, Kubernetes, Python, Debezium, HVR, Bicep

data engineering , snowflake , Sql, ETL/ELT, AI/ML

Git, Advanced Sql, Python