Sep 2023 – Mar 2026 · 2 yrs 6 mos · San Francisco Bay Area · Hybrid

• Tech Lead with expertise in observability, scalable data pipelines, and data engineering, enabling teams to gain better insights and monitoring capabilities.
• 1. Led the development of a centralized VictoriaMetrics (Drop in replacement for Prometheus) platform, scaling to 100s of millions of active time series from 100s of Kubernetes clusters.
• 2. Built a high-throughput data ingestion platform (Astra Event Hub) for non-metric events, capable of handling 4GiBps of data.
• 3. Designed and maintained scalable data pipelines for foundational datasets, integrating Cassandra, MySQL CDC events, and Kubernetes object events.
• 4. Worked across teams to improve observability and insights using VictoriaMetrics, Prometheus, Vector.dev, Splunk, BigQuery, Pub/Sub, Grafana and Superset
• Passionate about building scalable systems, driving observability excellence, and mentoring teams to deliver impactful solutions.

Nov 2016 – Jul 2023 · 6 yrs 8 mos · Sunnyvale, CA · Hybrid

• Built a near real-time system for detecting and preventing API abuse.
• Designed and developed scalable data pipelines to ingest and process Google's internal business data.

Jan 2014 – Nov 2016 · 2 yrs 10 mos · On-site

• Worked on building a scalable platform to conduct predictive and descriptive analytics.

Sep 2012 – Dec 2013 · 1 yr 3 mos

• Worked on building a big data platform for data scientists to run their predictive models and scores.

Sep 2011 – Jun 2012 · 9 mos · United States

• Project - Reducing Fragmentation in Deduplicated Storage Systems, Hewlett-Packard Laboratories
• Proposed, designed and implemented a method to accurately measure the backup reconstruction performance of a deduplicated system.

Dec 2009 – May 2010 · 5 mos

• Worked on developing Optical Character Recognition application (Kannada Language)