Karthik Subramanian

Data Engineering Intern @ New York University

About

I spent 3 years at Lowe's as one of the early engineers who built Connexio - an internal platform that replaced Informatica and Talend from scratch. It ended up serving 30+ engineering teams, running 19,000+ pipelines at petabyte scale. I didn't maintain systems. I built the systems other engineers depended on. Now I'm finishing my MS in Computer Science at NYU (May '26) with a 3.7 GPA, going deeper on distributed systems, AI infrastructure, and large-scale backend engineering. What I'm looking for: a backend, platform, or infrastructure engineering role where I can own something real — not just contribute to it. If you're building systems at scale, let's talk. 📧 karthiksha874@gmail.com

Country

United States

City

Brooklyn

Industry

Computer Software

Skill

Snowflake, Amazon Web Services (AWS), Google Cloud Platform (GCP), Apache Kafka, Apache Airflow, RDBMS, Hadoop, Extract, Transform, Load (ETL), c++, c, Python (Programming Language), SQL

Experience

Data Engineering Intern

New York University

2025-5 - 2026-1 · 9 mos

New York, United States

NYU IT DEPARTMENT

Data Engineer

Lowe's India

2023-8 - 2024-7 · 1 yr

India

Promoted to lead core subsystem development on Connexio. On a 5-person team, architected the ingestion and transformation framework in Scala — serving 50+ engineering teams running 19,000+ pipelines at petabyte scale. helped build Spark Structured Streaming framework powering 2,000+ pipelines processing ~1M events/sec during peak traffic (Black Friday/Cyber Week). Implemented platform guardrails — schema enforcement, retry semantics, PII masking — reducing support escalations by 60%.

Associate Data Engineer

Lowe's India

2021-8 - 2023-8 · 2 yrs 1 mo

India

Joined Lowe's data platform team as an early contributor and helped lay the groundwork for Connexio — an internal platform built to replace Informatica/Talend enterprise tooling. Built ETL pipelines across merchandising, supply chain, and omnichannel retail. Developed internal tooling for lineage, monitoring, and pipeline health checks. Began migrating workloads from on-prem Hadoop/Spark clusters to GCP BigQuery, contributing to what later became Lowe's full Data Mesh migration. Promoted to Data Engineer after 2 years based on platform contributions.