---
title: "Sujyoth Karkera - Senior Engineer (Data & AI) in Bengaluru | Tal"
description: "Meet Sujyoth Karkera, Data & AI Engineering at Visa based in Bengaluru. AI stack includes anthropic apis, claude code, and claude."
image: "https://tal.club/meet/sujyoth-karkera/share-image"
---

# Sujyoth Karkera on Tal

## Headline

Data & AI Engineering at Visa

## About

Senior Engineer specializing in building data platforms to power agentic AI at scale, following cloud\-agnostic and platform\-agnostic principles\. I have worked extensively with large\-scale datasets in the US healthcare domain, including payer, provider, claims and pharmacy data, designing systems that can reliably process, validate, and model billions of records\. I have delivered high\-impact projects for some of the largest US payers, working closely with both technical and business stakeholders\. While I bring strong client\-facing and delivery experience, my primary passion is building robust platforms, clean data models, and reliable pipelines that scale\. I have built end\-to\-end lakehouse architectures that centralize vendor and client data, enforce schemas, enable automated QC frameworks, and power analytics\-ready marts\. I focus on turning complex, messy healthcare data into clean, production\-grade data products that downstream teams can trust\. Currently focused on: • Distributed data processing \(Databricks, Spark, Delta Lake\) • Cost\-optimized agentic AI on realtime data • Cloud\-native data engineering \(Azure, AWS\) • Performance tuning and cost management • Data modeling • Automation and data quality Always open to conversations around data engineering, platform design, and building high\-scale data products\.

## Location

Bengaluru

## AI stack

anthropic apis

claude code

claude

hugging face

lovable

n8n

## Work experience

Senior Engineer \(Data & AI\) at Visa, Mar 2026 \- Present · 8 mos, Bengaluru, Part of the Personalization Insights team, building data foundations that power agentic AI on petabyte\-scale data to better understand and predict consumer behavior in real\-time\.

Forward Deployed Engineer / Consultant at ZS, Jun 2021 \- Mar 2026 · 4 yrs 10 mos, Bengaluru, • Delivered $20M\+ in yearly savings by architecting data pipelines processing 400\+ GB per run to power finance\-grade analytics strategies at scale\. • Built and owned business\-critical PySpark pipelines aggregating large\-scale claims data to compute actual savings, vendor commissions, and finance reconciliations, with end\-to\-end auditability and data lineage\. • Drove a 95% reduction in pipeline runtimes by replacing legacy workloads with distributed PySpark, optimizing joins and partitioning, pruning I/O, and leveraging Delta Lake optimizations including Z\-ordering and caching\. • Migrated legacy on\-prem Hadoop pipelines to PySpark on Databricks, standardizing ingestion for 10\+ external vendor feeds using schema normalization, metadata\-driven configurations, and automated data quality validations\. • Acted as Subject Matter Expert for Payment Integrity, translating complex domain logic into deterministic transformations, controls, and scalable data models\. • Led stakeholder interviews and requirements discovery, converting ambiguous business problems into a prioritized backlog, well\-defined user stories, and measurable acceptance criteria\. • Owned UAT and production readiness, leading in\-person test execution and sign\-off with client stakeholders in Chicago\. • Earned executive\-level recognition for technical excellence and leadership\.

## Education

Bachelor of Technology \- BTech, Information Technology, SVKM's Narsee Monjee Institute of Management Studies \(NMIMS\)

[View the original profile](https://tal.club/meet/sujyoth-karkera)

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