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

Java, Wireless, Load Balancer, Routers, Switches, Javascript, Cloud Networking, Ansible, Dynatrace, Lan, Python, NetBrain, SevOne, Thousand Eyes, Logic Monitor, Elastic, Moogsoft, Observability, SD-WAN

Pl Sql, Shell Scripting, Python, cloud-based environment

Java, Bteq, Ranger, Hadoop Ecosystem, Apache Spark, Kafka, Teradata Sql, Impala, React, Hive, shell scripting, Spark, Flask, RESTful API development, Python, GCFR shell scripts, ATLAS, ETL Informatica Power Center, Flink, Teradata, Iceberg, QueryGrid, Nifi

Java, Bteq, Apache Spark, Kafka, Teradata Sql, Impala, Hive, Informatica Powercenter, GCFR shell scripting, Iceberg, QueryGrid, Trino, NiFi

data engineering , Pyspark, ELT, Azure Synapse, Azure Data Lake, Azure Storage, Python, Data Modelling, Sql, Azure Data Factory, Spark, Data Governance, Databricks, Etl, Power BI integration, Azure ecosystem, OneLake, Lakehouse Data Warehouse solutions, Microsoft Fabric Data Factory, Security, Medallion architecture, Data Activator, Unity Catalog, metadata-driven concepts, CI CD best practices, DLT pipelines, Delta Lake, Microsoft Fabric, Lakehouse Warehouse

attribution , Python, Generative AI, risk modelling, Statistical data analysis libraries, Portfolio construction