GANESH KRISHNAN

I have 15.2 years of IT experience building cloud analytics solutions, with core expertise in Snowflake, DBT, Airflow, Microsoft Azure, Python and CI/CD pipelines. I design and operate scalable ETL and data transformation pipelines for enterprise use.

I have built source-aligned data products under a data mesh model and designed the Revenue Master product in Snowflake, which reduced manual reconciliation by over 16 hours/month and lowered Snowflake credit usage by 30% through right-sizing and optimization. I implemented reproducible infrastructure using Terraform, established RBAC and governance, and published lineage in Atlan.

I have implemented Data Vault 2.0 and dimensional models, developed complex SQL using window functions and CTEs, and automated ingestion from on-prem SQL Server, MongoDB, AWS S3 and Azure Blob into Snowflake using SSIS, Python, Matillion and Snowpipe. I also built DBT incremental models, SCD Type 2 snapshots and CI/CD pipelines to ensure reliable deployments across environments.

I have performed project lead and production-support roles, led offshore teams, and automated monitoring and incident processes using AppDynamics, Dynatrace, Cloud Prober, Jenkins and Git. I collaborate closely with stakeholders to translate requirements into traceable, compliant analytics solutions and continuously improve observability and performance.