Naveena M G

I’ve been building cloud-native ETL/ELT pipelines on Azure Synapse and Databricks, integrating Azure SQL, ADLS Gen2, and REST APIs for batch and near-real-time ingestion.

At MRI Software, I redesigned incremental loading and complex T-SQL patterns to cut data processing latency by 40% and query latency by 30%, while standardizing schemas with ADLS Gen2 CDM views and row-level security for multi-tenant access.

I’ve also focused on operational reliability—using Synapse pipelines and triggers with self-healing and proactive monitoring, and wiring Azure DevOps CI/CD workflows for cross-environment deployments with zero-downtime releases.

Before that, I worked as a Data Engineering Intern at Visionet Systems, automating serverless data movement with Azure Data Factory and Azure Functions, while tuning SQL queries and stored procedures to reduce execution time by up to 40%.