George Chigrichenko

San Mateo

Overview

years of professional experience

Observe, Inc

San Mateo, CA

01.2021 - 01.2025

Scaled data platform supporting over $40M ARR from $0 in 4 years
Capital One, Dialpad, Blend, Relational AI are some of the customer
Https://www.observeinc.com/customer-stories
Built and led L3 support team (4 engineers), establishing escalation processes that reduced resolution time by 40%
Optimized query performance for petabyte-scale observability pipelines (Snowflake)
Custom DSL (OPAL) function optimizations
S3 -> Snowflake, Kafka -> Snowflake pipeline scaling and monitoring
Created customerengineering bridge for critical issues, improving NPS by 25 points
Offloaded customer issues from backed engineers and owned technical escalations and investigations across the product
Ran multiple time sensitive root-causes/deep dives during customer incidents
Trusted authority on various product features for training new hires
Seed-Stage -> C Series Observability Startup

AppDynamics/Cisco

San Francisco, CA

01.2016 - 01.2021

Led Elasticsearch infrastructure for 4000+ node SaaS analytics platform across 7+ regions
Elasticsearch ingestion and indexing optimizations
JVM optimizations
Admin API (Account, Index management and deletion)
Kafka consumer and topic management in Java
Authored sizing guide adopted by 500+ enterprise customers (S&P 500)
Cross Region High Availability Replication development
Appdynamics Analytics L3 Backend Support for 4k+ B2B customers worldwide
Ingest capacity and query performance testing using Gatling, Terraform deployment, Python and Java for load generation
Reliability and Performance Engineering

SAP/Sybase

Dublin, CA

01.2013 - 01.2016

Developing SAP HANA Multitenancy
Developed performance testing framework for HANA-Spark-Hadoop integration (TPC-H benchmarks)
Led ARM migration for IoT streaming platform (x86—RPi), reducing hardware costs 60%

UC Berkeley

01.2013

Cisco Networking Academy

Scaled 2 data platforms from zero to enterprise-grade
100% success rate in technical customer escalations
Organized multiple engineering teams and the relevant customer and production issue workflows from scratch