Gautham Kolluru
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Overflow | HackerRank
+1 240-639-9934 | gautham.kolluru@gmail.com |
thegauthams.com
Professional Summary
Data Engineer with extensive experience in large-scale distributed
systems, ML infrastructure, and enterprise data platforms. Specialized
in: - Architecting distributed systems processing 20B+ daily records
with sub-second latency - Building production ML systems including
LLM-powered applications serving Fortune 100 companies - Leading
cross-functional teams in delivering mission-critical data
infrastructure at scale - Designing fault-tolerant data pipelines with
99.99% uptime for enterprise customers
Technical Expertise
- Core Technologies: Distributed Systems, System
Design, Microservices Architecture, Real-time Processing
- Languages: Python (NumPy, Pandas, PySpark), Java,
Rust, SQL, Bash
- ML/AI: LangChain, LangGraph, Large Language Models
(LLMs), RAG, NLP, TensorFlow
- Cloud & Infrastructure: GCP (BigQuery,
Dataproc, Cloud Storage), Apache Spark, Hadoop, Airflow
- Data Systems: Snowflake, Data Lakes, OLAP/OLTP,
Real-time Analytics
- DevOps: Docker, Kubernetes, CI/CD, Git,
Infrastructure as Code
Professional Experience
Data Engineer, Cisco; Raleigh, NC — 2021-Present
Key Projects & Impact:
Enterprise Network
Intelligence System (SVYUM)
- Architected ML-powered network analysis platform for Fortune 100
telecom provider (120M+ customers)
- Achieved 70% latency reduction through distributed caching
architecture
- Engineered parallel processing system analyzing 10,000+ network
devices in 25 seconds
- Reduced network analysis time from hours to minutes using
LangChain/LangGraph
- Built enterprise-scale RAG system processing 100K+ documents with
sub-second query latency
- Implemented dynamic knowledge graph enabling real-time updates and
95% retrieval accuracy
- Reduced time-to-insight by 90%
- Engineered automated document processing pipeline with intelligent
categorization
WAN Automation Engine
- Led development of enterprise network automation platform serving
major ISPs
- Architected version-agnostic data transformation system with 100%
data integrity
- Reduced customer upgrade cycles from weeks to days for 1000+ network
devices
- Successfully deployed to multiple tier-1 regional service
providers
- Impact: 70% reduction in network configuration management time
Enterprise Threat Analytics
System
- Designed threat analytics platform for Fortune 50 telecom provider
(200M+ customers)
- Processed 100M+ daily network events with zero data loss
- Implemented cross-platform compatibility layer for diverse
technology stack
- Achieved 99.99% system reliability for mission-critical security
operations
- Impact: Protected $10B+ network infrastructure through near
real-time threat detection
Data Engineer, 84.51°; Cincinnati, OH — 2020-2021
- Architected data pipeline processing 20B rows (5TB+) with 40
transformation steps in 23 minutes
- Achieved 40% performance improvement through distributed computing
optimization
- Built data quality framework ensuring 99.9% accuracy for customer
analytics
Data/NLP
Engineer, Cisco; Bengaluru, India —
2019-2020
- Developed NLP chatbot system handling 10K+ daily conversations with
95% accuracy
- Built fault-tolerant data synchronization between cloud platforms
(GCP, Snowflake)
- Implemented incremental ETL pipelines with zero data loss
Software
Engineer, Global Data;
Hyderabad, TG, IND — 2018
- Engineered robust web scraping system processing 1M+ pages monthly
from diverse sources using distributed architecture
- Implemented intelligent proxy rotation and multi-processing,
achieving 3x throughput improvement
- Designed fault-tolerant ETL pipeline with 99.9% reliability for
mission-critical financial data
- Led development of 12 full-stack applications for US federal clients
using microservices architecture
- Implemented real-time analytics dashboards using Tableau and SSRS,
processing 10M+ daily records
Project
Engineer, Royal Oman
Police; Muscat, OM — 2013-2015
- Architected high-performance OLTP/OLAP database system for
nationwide speed camera network
- Implemented automated ETL system processing 500K+ daily transactions
with zero data loss
Education
B. Tech in Computer Science Engineering — Andhra University, 2009
Additional Achievements
- Scale: Built data pipelines processing 20B+ daily
records