Venkata Krishna Podili

About Venkata Krishna Podili

Seasoned Snowflake Administrator with over 10 years of professional experience in managing, securing, and optimizing cloud data platforms. Specialized in Snowflake operational administration with deep expertise in onboarding new applications, daily user support, environment monitoring, and maintaining strict RBAC and compliance policies. Proven ability to keep Snowflake environments stable, performant, and secure through hands-on administration, automation, and governance. Experienced working collaboratively with cross-functional teams to ensure data availability and compliance while minimizing disruptions. Skilled at automating routine tasks and monitoring to reduce manual intervention and proactively address operational issues.Snowflake Administrator with heavy focus on operational administration, security, and environment stability.Expertise in onboarding new applications, managing user roles and permissions, and providing daily user support and query troubleshooting.Skilled in maintaining strict RBAC policies to ensure compliance with GDPR, HIPAA, and internal security standards.Experienced in applying regular Snowflake updates, patches, and performance tuning to optimize resource utilization and system availability.Proficient in developing automation scripts and infrastructure-as-code pipelines to reduce manual administration and enable scalable environment management.Adept at monitoring Snowflake usage, setting up alerts, and proactively addressing system and data quality issues with tools like Datadog and Montecarlo.Strong collaborator with cross-functional teams including Data Engineers, BI analysts, and Security to maintain secure, compliant, and efficient Snowflake environmentsExperience in database and data warehouse (big data) experience, demonstrated ability in data modeling, ETL development, big data infrastructure and data warehousing.Experience in Data Design and Analysis, Design, Administration, Development, Integration and Maintenance of Data warehouse, Business Intelligence, ETL and Database platforms. Deep understanding of database and internal, hand on database troubleshoot and SQL performance tuning skills, outstanding skills in Relational Database.(Snowflake, Dataiku, Oracle, PostgreSQL, Redshift, MySQL)

Experience

1. Senior Snowflake Administrator

   Guild

   Feb 2022 — Present

   Administer and optimize Snowflake environments, ensuring high availability and efficient utilization of resources. Implement data sharing and replication strategies to support enterprise-wide data needs. Design and manage role-based access controls (RBAC) to enforce security and compliance policies. Collaborate with data architects and ETL developers to define and implement data models and pipelines. Monitor system performance and execute query optimization to reduce latency and improve throughput. Develop scripts for automation, including data ingestion, backup, and recovery processes. Admin, Review and Implement Snowflake best practices & considerations for managing load operations, monitoring, and performance optimization. Admin, Support and creating new resources in snowflake for enabling BI operations. Setting up Data Infrastructure and Tooling from Scratch and Maintaining code across GitHub Repositories, Using GitHub Actions along with ECS and Docker to set up CI/CD for adding new changes in the production code across projects. Conducting business due-diligence activities to identify analytics opportunities for transformation. Building infrastructure as code (IAC) in Snowflake and Databricks to enable the team to build, change, and version infrastructure safely and efficiently using Terraform Expand functionality within existing systems and tooling using DBT,Azure and Databricks. Translate complex business requirements into usable, scalable data models and systems using DBT Automate data integration and loading in cloud data warehouse systems in Snowflake using DBT. Implementing Data quality for all the Data products that need to be Ingested in the cloud data warehouse. Automating and Implementing Data contract using Great Expectations which includes only accepted records in the data warehouse. Mentor other engineers and analysts on the team and share technical knowledge mainly with DBT.

Education

• University of Missouri-Kansas City

  Master of Science - MS, Computer Science

• Gayatri Vidya Parishad College of Engineering (Autonomous)

  Bachelor's degree, Computer Science