---
title: "Allwin Jones - Data Engineer in Hyderabad | Tal"
description: "Meet Allwin Jones, Data Engineer at Apple via ThoughtGenesis | Scala | Spark Core | Spark SQL | Spark GraphX | AWS(EMS, EKS, S3) | Anthropic Claude Skills | MCP | RAG based in Hyderabad. AI stack includes claude code, claude, and gemini."
image: "https://tal.club/meet/allwin-jones/share-image"
---

# Allwin Jones on Tal

## Headline

Data Engineer at Apple via ThoughtGenesis \| Scala \| Spark Core \| Spark SQL \| Spark GraphX \| AWS\(EMS, EKS, S3\) \| Anthropic Claude Skills \| MCP \| RAG

## About

Data engineer working on large\-scale geospatial data pipelines\. I build reliable, configurable Spark\-based workflows that turn raw signals into high\-quality map data across global markets\. I work closely with data scientists and ML teams on feature extraction, labelling and model\-ready pipelines\. I'm also exploring how GenAI and agentic tools, such as Claude Code, MCP servers and custom plugins, can speed up debugging, diagnostics and day\-to\-day engineering work\.

## Location

Hyderabad

## AI stack

claude code

claude

gemini

hugging face

mcp

openai

## Work experience

Data Engineer at Apple, Jan 2025 \- Present · 1 yr 11 mos, Hyderabad, \- Apple Maps Via ThoughtGenesis As Software Engineer \- Designed, build and maintained large\-scale batch data pipelines\(Spark\) that process geospatial data and automate quality improvements across many international markets\. \- Improved the performance, reliability and observability of distributed workflows by fixing memory and checkpointing issues, tuning long\-running jobs and improving error reporting\. Migrated legacy workflows to cloud\-native, container\-orchestrated infrastructure\. \- Implemented rule\-based validation, auto\-correction and anomaly\-suppression logic that reduces noise and manual review effort for downstream data editors\. \- Partnered with data scientists and ML teams by building the pre\-processing, post\-processing and label\-generation pipelines that feed their models, and by handing over the work through knowledge\-transfer sessions\. \- Triage and root\-cause production failures end to end, from orchestration through compute to the data itself, and shipped fixes with clear documentation\. \- Explored LLM\-assisted engineering workflows with Claude Code\. This includes agentic tooling, MCP integrations and plugins that automate pipeline diagnostics and issue\-tracking tasks, and summarising large volumes of project history and automated post development testing by\-passing QA team approval and rpviding better results in testing developed changes\. \- Tech Stack : Scala, Spark Core, Spark GraphX, AWS EMR, AWS EKS, AWS S3\.

Data Engineer at Apple, Nov 2023 \- Dec 2024 · 1 yr 2 mos, Hyderabad, \- Apple Maps Via Tech Mahindra as Software Engineer \- Developed edit automation pipelines to populate and manipulate Apple Maps data using multiple sources, thus reducing over 10,000 manual edit hours\. \- Enhanced the user routing experience in Apple Maps by optimizing for narrow roads, incorporating bicycle\- friendly routes, and implementing route barrier detection, leading to an improved travel experience for users\. \- Engaged in close collaboration with data scientists to develop machine learning solutions, focusing on data preparation as well as pre and post processing tasks to ensure optimal model performance\. \- Tech Stack : Scala, Spark Core, Spark GraphX, AWS EMR, AWS S3\.

Software Engineer at Apple, Sep 2021 \- Oct 2023 · 2 yrs 2 mos, Bengaluru, \- Apple IS&amp;T Via Infosys as Specialist Programmer \- Worked as Data Engineer to create master data pipeline between business\-business applications in Apple Sales apps\. \- Worked with master data source clients like iTunes, AppleCRM, GMACC, IDMS, SFO, SFDC and other systems to accumulate master data and providing it to consumers via single point of access\. \- Developed a new application single\-handedly and moved all the way to production to provide search functionalities over IDMS Apple users data with MVC based APIs\. \- Worked with varieties of database like Oracle, Couchbase and Solr integrating group of micro\-services to provide data induction from master data sources and data availability to consumers\. \- Worked with multiple master data clients in finding data integration between master data from different sources to provide cumulative data to consumers\. \- Acted as team lead of SalesPlatform offshore team leading 2\-3 teammates\. \- Tech stack : Scala, Spark, Couchbase, Solr, Oracle, Spring\-Boot, Spring\-Reactive\.

## Education

Bachelor of Technology \- BTech, Information Technology, M\.KUMARASAMY COLLEGE OF ENGINEERING, KARUR

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

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