---
title: "Atul Matvar - Principal Engineer in Delhi | Tal"
description: "Meet Atul Matvar, Principal Data Platform Engineer | AWS & Azure | Data Lakehouse | Apache Iceberg | PySpark | Azure DevOps | Docker | Cloud Architecture | CI/CD | AI-Assisted Engineering | Ex Paytm based in Delhi. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/atul-matvar/share-image"
---

# Atul Matvar on Tal

## Headline

Principal Data Platform Engineer \| AWS & Azure \| Data Lakehouse \| Apache Iceberg \| PySpark \| Azure DevOps \| Docker \| Cloud Architecture \| CI/CD \| AI\-Assisted Engineering \| Ex Paytm

## About

I’m a Data Engineer / Data Platform Engineer with 9\+ years of experience building scalable Big Data and Cloud Data Platforms in FinTech and enterprise analytics domains\. I specialize in designing modern Lakehouse architectures, building high\-performance ETL/ELT pipelines, and delivering analytics\-ready datasets that power business\-critical dashboards, KPI reporting, and product decision\-making\. I have worked in high\-scale environments at One97 Communications \(Paytm\) and Paytm Payments Bank, where I gained hands\-on exposure to enterprise\-grade data ecosystems, governance frameworks, and large\-scale reporting platforms\. Currently, I’m working at Algoworks Technology Pvt\. Ltd\., where I design and implement an AWS Lakehouse platform using Apache Iceberg on S3 following a Medallion Architecture \(Bronze/Silver/Gold\)\. I integrate complex data sources like OneStream \(REST APIs\), JDE, and TMS, and deliver curated Gold datasets for enterprise analytics and Power BI reporting\. What I Do Best ✅ Data Platform Engineering Lakehouse Architecture ✅ Building scalable ingestion \+ transformation frameworks ✅ Batch \+ incremental pipeline design using Spark ✅ Data modeling, optimization & governance\-ready datasets ✅ Data Quality, reconciliation & monitoring frameworks Core Skills: AWS • Azure • PySpark • Apache Iceberg • Spark • Python • SQL • Docker • GitHub Actions • CI/CD • PostgreSQL • Cloud Architecture Key Highlights: Improved query performance by 40% by driving migration and optimization using Trino\. Reduced cluster overhead by 30% through optimized ETL execution and tuning\. Supported migration of workloads from on\-prem to AWS, improving scalability and cost efficiency\. Delivered trusted KPI datasets powering business dashboards through strong reconciliation & validation frameworks Built an end\-to\-end Azure cloud deployment platform with automated CI/CD for a modern containerized application using Docker and Azure Container Apps\. Career Goal I'm passionate about building scalable, secure, and cost\-effective cloud platforms that combine modern data engineering, cloud infrastructure, and DevOps practices\. I enjoy solving complex engineering challenges, mentoring teams, and adopting AI\-assisted engineering to improve development productivity while maintaining high engineering standards\. I'm always open to connecting with professionals in Data Engineering, Cloud Architecture, Platform Engineering, Data Platforms, and DevOps\.

## Location

Delhi

## AI stack

opencode

claudecode

## Work experience

Principal Engineer at Algoworks, Jan 2026 \- Present · 8 mos, Remote, Designed and implemented an enterprise AWS Data Lakehouse using Apache Iceberg on Amazon S3 with Medallion Architecture \(Bronze, Silver, Gold\)\. Developed scalable ETL/ELT pipelines using AWS Glue, PySpark, and Spark SQL, integrating enterprise systems including OneStream, JDE, and TMS\. Built incremental ingestion and MERGE/UPSERT frameworks for historical corrections, schema evolution, and analytics\-ready datasets\. Designed and implemented a cloud\-native Azure deployment platform for a pilot application using Azure Container Apps, Azure Container Registry, Azure Storage, PostgreSQL, Docker, and GitHub Actions\. Built end\-to\-end CI/CD pipelines to automate container build, deployment, and environment configuration\. Leveraged AI tools \(Claude\) to accelerate infrastructure design, deployment automation, and CI/CD development while validating all generated solutions using engineering best practices\.

Technical Lead at Paytm Payments Bank, Apr 2023 \- Jan 2026 · 2 yrs 10 mos, Noida, Led modernization of enterprise data platforms supporting FinTech reporting and regulatory analytics\. Migrated 200\+ production workloads from Hortonworks to AWS, improving scalability and operational efficiency\. Improved analytical query performance by approximately 40% through Hive\-to\-Trino migration and workload optimization\. Optimized Spark and Hive workloads, reducing cluster utilization and infrastructure costs by 30–40%\. Designed monitoring, partitioning, and performance optimization strategies to improve production SLA adherence\.

Senior Data Engineer at Paytm Payments Bank, Nov 2020 \- Apr 2023 · 2 yrs 6 mos, Noida, Uttar Pradesh, India

Data Engineer at Paytm Payments Bank, Oct 2019 \- Nov 2020 · 1 yr 2 mos, Noida, Uttar Pradesh, India

Data Engineer at One97 Communications Limited, Aug 2016 \- Sep 2019 · 3 yrs 2 mos, Noida, Designed scalable ETL pipelines for enterprise reporting and analytics using Spark, Hive, and SQL\. Built reusable ingestion and transformation frameworks supporting multiple business domains\. Optimized large\-scale batch processing workflows for improved reliability and performance\. Collaborated with analytics and business teams to deliver trusted datasets for reporting and decision\-making\. Participated in code reviews and platform improvements to enhance engineering quality\.

## Education

Master of Science \- MS, Data Science, Liverpool John Moores University

Executive PG in Data Science, Deep Learning, International Institute of Information Technology Bangalore

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

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