Summary
Vineet Gadodia is an Engineering Lead at Salesforce with 12 years of experience building reliable, high-performance data systems and observability platforms. He specializes in data observability, open table formats like Apache Iceberg, and real-time diagnostics for databases, combining Grafana, Prometheus, and Splunk to drive near-real-time customer insights. Previously a Staff Data Engineer at Cisco and Senior Data Engineer at Okta, he productionized ML workflows, designed streaming log pattern-detection services, and rebuilt BI and data warehouse infrastructures to scale testing and decision-making. Comfortable across Python and Java stacks, Vineet has deep experience with Snowflake, Redshift, Kafka, and search engines like Elasticsearch and Solr, plus a strong background in ETL, Airflow, and cloud-native architectures. He pairs hands-on technical execution with cross-functional leadership, translating complex pipeline failures into actionable fixes and stakeholder-facing metrics. Based in San Francisco, he brings both rigorous academic training (USC MS, VTU BE) and a pragmatic focus on operational excellence in data platforms.
12 years of coding experience
9 years of employment as a software developer
Master's degree, Computer Science, 3.66/4.0, Master's degree, Computer Science, 3.66/4.0 at University of Southern California
Bachelor of Engineering (BE), Information Technology, 3.7/4.0, Bachelor of Engineering (BE), Information Technology, 3.7/4.0 at Visvesvaraya Technological University
English, Hindi