Varun Mundale profile photo 1 on Tal

Varun Mundale

Lead Software Engineer at Stripe/Recko | Ex-Flipkart | Ex-Tesco

Bengaluru

7+ years of work experience

Stripe
Mar 20251 yr 2 mosApr 2026

Overall highlight: 12x faster end-to-end financial reporting (12hrs → <1hr) · 10-20x lower dashboard latency · Scaled reconciliation to 10K+ merchants Highlight: 3x faster reporting (3hrs→<1hr) · 10-20x lower latency (10-20s→sub-second) | Stripe Revenue Recognition & Reconciliation ◦ Led architecture and end-to-end delivery of Stripe's next-generation incremental reporting platform. ◦ Designed an incremental materialization framework using Apache Iceberg transactional upserts, eliminating full-table recomputation. ◦ Integrated Apache Pinot as the analytical serving layer for low-latency dashboard queries. ◦ Built snapshot-based replay and recovery workflows using Iceberg time-travel for reliable backfills and failure recovery.
Stripe
Jan 20223 yrs 2 mosFeb 2025

Highlight: 4x faster pipeline (12hrs→3hrs) · ~Rs.50K/day i.e. $600/day cost reduction | Stripe Revenue Recognition ◦ Led redesign of the Revenue Recognition pipeline from whole-world batch processing to an incremental, delta-based architecture — processing only changed financial entities while preserving accounting correctness. ◦ Designed and implemented incremental Spark pipelines, decomposing monolithic workflows into change-based processing. ◦ Collaborated with cross-functional teams to validate architecture and ensure seamless downstream integration. ◦ Reduced pipeline runtime 12hrs → 3hrs (75%), cut infrastructure cost by ~Rs.50K/day, and unlocked the org's critical <3-hour reporting freshness milestone.
Recko | A Stripe company
Sep 20214 yrs 8 mosApr 2026

Bengaluru

Highlight: Merchants scaled to 10K+ | Post-acquisition platform build (Recko → Stripe) ◦ Led technical design and end-to-end delivery of Stripe's reconciliation platform post-Recko acquisition, taking it from Alpha through Private Beta to Public Beta — driving the roadmap that turned an acquired product into a Stripe-scale platform. ◦ Architected configurable reconciliation workflows — merchant opt-in/opt-out, date-based matching, compliance-driven rules — engineered to handle the diversity of 10K+ merchant integrations. ◦ Drove platform adoption to 10K+ Stripe merchants, establishing reconciliation as a core, production-grade capability of the merchant product suite.
Flipkart
Mar 20217 mosSep 2021

Bengaluru

Highlight: DRI. Financial data platform made sef-healing· Big Billion Day peak handled. Regulatory compliance made automated ◦ Data Correctness & Completeness — As DRI, architected and built an automated platform to proactively detect, classify, and remediate accounting discrepancies across Flipkart's financial systems in real time — eliminating manual reconciliation effort and giving engineering, finance, and product teams a single source of truth for financial data health. ◦ Big Billion Day Readiness — Owned performance engineering for mission-critical accounting services ahead of Flipkart's largest sales event, running large-scale load and stress tests to identify bottlenecks and ship optimizations that kept financial systems reliable under peak-scale traffic. ◦ Tax Compliance Framework — Built an automated testing framework for validating TDS/TCS regulatory changes, cutting manual validation effort and enabling faster, more reliable rollout of government compliance updates.
Flipkart
May 20191 yr 10 mosFeb 2021

Bengaluru Area, India

Tesco
Jul 201811 mosMay 2019

Greater Bengaluru Area

Highlight: Order distribution backbone for Grocery Home Shopping made reliable ◦ Redesigned the queuing system powering the Grocery Home Shopping (GHS) Orders API — the critical path distributing every customer order from the central order management system to retail store systems. ◦ Re-architected for reliability and fault tolerance, eliminating a key point of failure in the order fulfillment pipeline and ensuring orders reach stores consistently even under system disruptions.
GitHub
@varunmundale

Varun’s AI Stack

claude code
claude code
claude
claude
github copilot
github copilot
ollama
ollama
openai
openai

Education

International Institute of Information Technology Hyderabad (IIITH)

Master of Technology - MTech, Computer Science

International Institute of Information Technology Hyderabad (IIITH)

20162 yrs2018
University of Mumbai

Bachelor of Engineering - BE, Information Technology

University of Mumbai

20133 yrs2016

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Headline

Lead Software Engineer at Stripe/Recko | Ex-Flipkart | Ex-Tesco

About

Lead Software Engineer with 8+ years of experience designing and building large-scale distributed systems, backend services, and financial data platforms. - Led end-to-end engineering initiatives from architecture to production, delivering measurable improvements in latency, data freshness, and infrastructure efficiency. - Specialized in event-driven architectures, stream processing, and financial systems, with a strong focus on correctness, reliability and operational excellence.

Location

Bengaluru

AI stack

claude code

claude

github copilot

ollama

openai

Work experience

Lead Software Engineer at Stripe, Mar 2025 - Apr 2026 · 1 yr 2 mos, Overall highlight: 12x faster end-to-end financial reporting (12hrs → <1hr) · 10-20x lower dashboard latency · Scaled reconciliation to 10K+ merchants Highlight: 3x faster reporting (3hrs→<1hr) · 10-20x lower latency (10-20s→sub-second) | Stripe Revenue Recognition & Reconciliation ◦ Led architecture and end-to-end delivery of Stripe's next-generation incremental reporting platform. ◦ Designed an incremental materialization framework using Apache Iceberg transactional upserts, eliminating full-table recomputation. ◦ Integrated Apache Pinot as the analytical serving layer for low-latency dashboard queries. ◦ Built snapshot-based replay and recovery workflows using Iceberg time-travel for reliable backfills and failure recovery.

Senior Software Engineer at Stripe, Jan 2022 - Feb 2025 · 3 yrs 2 mos, Highlight: 4x faster pipeline (12hrs→3hrs) · ~Rs.50K/day i.e. $600/day cost reduction | Stripe Revenue Recognition ◦ Led redesign of the Revenue Recognition pipeline from whole-world batch processing to an incremental, delta-based architecture — processing only changed financial entities while preserving accounting correctness. ◦ Designed and implemented incremental Spark pipelines, decomposing monolithic workflows into change-based processing. ◦ Collaborated with cross-functional teams to validate architecture and ensure seamless downstream integration. ◦ Reduced pipeline runtime 12hrs → 3hrs (75%), cut infrastructure cost by ~Rs.50K/day, and unlocked the org's critical <3-hour reporting freshness milestone.

Software Engineer 2 at Recko | A Stripe company, Sep 2021 - Apr 2026 · 4 yrs 8 mos, Bengaluru, Highlight: Merchants scaled to 10K+ | Post-acquisition platform build (Recko → Stripe) ◦ Led technical design and end-to-end delivery of Stripe's reconciliation platform post-Recko acquisition, taking it from Alpha through Private Beta to Public Beta — driving the roadmap that turned an acquired product into a Stripe-scale platform. ◦ Architected configurable reconciliation workflows — merchant opt-in/opt-out, date-based matching, compliance-driven rules — engineered to handle the diversity of 10K+ merchant integrations. ◦ Drove platform adoption to 10K+ Stripe merchants, establishing reconciliation as a core, production-grade capability of the merchant product suite.

SDE Il at Flipkart, Mar 2021 - Sep 2021 · 7 mos, Bengaluru, Highlight: DRI. Financial data platform made sef-healing· Big Billion Day peak handled. Regulatory compliance made automated ◦ Data Correctness & Completeness — As DRI, architected and built an automated platform to proactively detect, classify, and remediate accounting discrepancies across Flipkart's financial systems in real time — eliminating manual reconciliation effort and giving engineering, finance, and product teams a single source of truth for financial data health. ◦ Big Billion Day Readiness — Owned performance engineering for mission-critical accounting services ahead of Flipkart's largest sales event, running large-scale load and stress tests to identify bottlenecks and ship optimizations that kept financial systems reliable under peak-scale traffic. ◦ Tax Compliance Framework — Built an automated testing framework for validating TDS/TCS regulatory changes, cutting manual validation effort and enabling faster, more reliable rollout of government compliance updates.

Software Development Engineer at Flipkart, May 2019 - Feb 2021 · 1 yr 10 mos, Bengaluru Area, India

Software Developer Engineer at Tesco, Jul 2018 - May 2019 · 11 mos, Greater Bengaluru Area, Highlight: Order distribution backbone for Grocery Home Shopping made reliable ◦ Redesigned the queuing system powering the Grocery Home Shopping (GHS) Orders API — the critical path distributing every customer order from the central order management system to retail store systems. ◦ Re-architected for reliability and fault tolerance, eliminating a key point of failure in the order fulfillment pipeline and ensuring orders reach stores consistently even under system disruptions.

Education

Master of Technology - MTech, Computer Science, International Institute of Information Technology Hyderabad (IIITH)

Bachelor of Engineering - BE, Information Technology, University of Mumbai

Public links

github: https://github.com/varunmundale