Kamalesh Pati profile photo 1 on Tal

Kamalesh Pati

Software Engineer @ Fivetran | Computer Science, Information Technology

Bengaluru

5+ years of work experience

Fivetran
Dec 20259 mosPresent

Bengaluru, Karnataka, India

Contributing to high-scale Salesforce and database connectors on a platform processing 300-400 million records/day across enterprise customers, focusing on reliability and schema evolution under concurrent load.
SlydS- Decks, Fundraise & Strategy
Jan 202510 mosOct 2025

Bengaluru, Karnataka, India

Built a multi-factor quantitative valuation engine analyzing fundamental and market data to identify valuation dislocations and generate alpha signals, implemented portfolio risk overlays including volatility-adjusted position sizing, drawdown control, and stop-loss optimization
Career Break
Sep 20242 mosOct 2024

Bengaluru, Karnataka, India

Fivetran
Sep 20222 yrsAug 2024

Bengaluru, Karnataka, India

Designed a parallel streaming pipeline service for database-to-warehouse integrations across 1000+ enterprise connectors, enabling concurrent syncs that reduced end-to-end sync latency by ~20% and increased overall pipeline throughput.
Fivetran
May 20211 yr 6 mosOct 2022

Bengaluru, Karnataka, India

working with best technologies to provide data pipeline as a service
AVRL
Jun 202011 mosApr 2021

•​Developed web interfaces and integration plugins enabling chat-based automation to be embedded into client websites, deployed for Fortune 500 clients across European markets - significantly reducing manual processing time in document-heavy application workflows.

Kamalesh’s AI Stack

anthropic apis
anthropic apis
claude
claude
codex
codex
github copilot
github copilot
n8n
n8n
notion
notion

Education

NIST University

Bachelor's degree, Computer Science (hons)

NIST University

20164 yrs2020
QuantInsti

Executive Programme in Algorithmic Trading And ML(EPAT), Information Technology

QuantInsti

20251 yr2026

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Headline

Software Engineer @ Fivetran | Computer Science, Information Technology

About

I’m a Backend Engineer with 5+ years of experience building scalable distributed systems, high-throughput data pipelines, and low-latency backend infrastructure. At Fivetran, I work on data platforms processing 500M+ records daily, focusing on reliability, schema evolution, performance optimization, and concurrent pipeline design at enterprise scale. My expertise spans distributed systems, event-driven microservices, cloud-native infrastructure, and performance-critical backend engineering using Python, Java, and Golang. I’ve designed systems handling high concurrency, optimized memory-intensive workloads, and built reliable data-intensive platforms across production environments. Alongside backend engineering, I actively build quantitative systems including multi-factor valuation engines, algorithmic trading infrastructure, backtesting systems, and market data pipelines. My focus here is on systematic strategy development, regime detection, options execution, and risk-aware trading systems. 🔭 Currently focused on: • Building low-latency algorithmic trading systems for equities and options • Designing systematic trading and valuation models • Building scalable backend systems and event-driven platforms Always open to collaborating on backend systems, quantitative infrastructure, trading systems, and early-stage product engineering.

Location

Bengaluru

AI stack

anthropic apis

claude

codex

github copilot

n8n

notion

Work experience

Software Engineer at Fivetran, Dec 2025 - Present · 9 mos, Bengaluru, Karnataka, India, Contributing to high-scale Salesforce and database connectors on a platform processing 300-400 million records/day across enterprise customers, focusing on reliability and schema evolution under concurrent load.

Software Engineer at SlydS- Decks, Fundraise & Strategy, Jan 2025 - Oct 2025 · 10 mos, Bengaluru, Karnataka, India, Built a multi-factor quantitative valuation engine analyzing fundamental and market data to identify valuation dislocations and generate alpha signals, implemented portfolio risk overlays including volatility-adjusted position sizing, drawdown control, and stop-loss optimization

Health and well-being at Career Break, Sep 2024 - Oct 2024 · 2 mos, Bengaluru, Karnataka, India

SDE 2 at Fivetran, Sep 2022 - Aug 2024 · 2 yrs, Bengaluru, Karnataka, India, Designed a parallel streaming pipeline service for database-to-warehouse integrations across 1000+ enterprise connectors, enabling concurrent syncs that reduced end-to-end sync latency by ~20% and increased overall pipeline throughput.

SDE-1 at Fivetran, May 2021 - Oct 2022 · 1 yr 6 mos, Bengaluru, Karnataka, India, working with best technologies to provide data pipeline as a service

Software Engineer at AVRL, Jun 2020 - Apr 2021 · 11 mos, •​Developed web interfaces and integration plugins enabling chat-based automation to be embedded into client websites, deployed for Fortune 500 clients across European markets - significantly reducing manual processing time in document-heavy application workflows.

Education

Bachelor's degree, Computer Science (hons), NIST University

Executive Programme in Algorithmic Trading And ML(EPAT), Information Technology, QuantInsti