---
title: "Narayana Motamarri (NaMo) - Data Engineering Manager in Hyderabad | Tal"
description: "Meet Narayana Motamarri (NaMo), Data Engineering, Cloud & BigData Leader | @Loyalty Methods, ex-(Cloudera, Bombora, HearstAutos, Coforge, Infosys); ASU, USA. based in Hyderabad. AI stack includes antigravity, cursor, and claudecode. Explore public work links including github."
image: "https://tal.club/meet/narayana-motamarri-namo/share-image"
---

# Narayana Motamarri \(NaMo\) on Tal

## Headline

Data Engineering, Cloud & BigData Leader \| @Loyalty Methods, ex\-\(Cloudera, Bombora, HearstAutos, Coforge, Infosys\); ASU, USA\.

## About

Hi, I’m Narayana Motamarri \(NaMo\) 👋 Data Engineering Leader \(Head / Director / Manager\) with 18\+ years of experience building large\-scale Cloud based Enterprise data platforms across AWS & GCP\. Managed / Mentored teams of 30\+ across Data Engineering, Analytics, Data Science, DataQA, BI & AI\. Designed & Migrated data ecosystems, Architect & Built ETL pipelines, real\-time \(low latency\) ad\-serving insights through cost\-optimised Architectures enabling Data Governance, Data Catalog, Metadata & Observability\. Key Achievements: 1\. Working on various enterprise data use\-cases at product & service based companies like Loyalty Methods, Bombora, Coforge catering to wider group of enterprise customers\. \(2021 \- Present\) 2\. Built Hearst Autos’ AWS cloud enterprise data platform from the ground up \(Redshift, Glue, EMR, Spectrum, DMS, etc\.\) — 7\.5 years of scale, reliability, & innovation\. \(2014 \- 2021\) 3\. Achieved my dream of working at Cloudera\. contributed towards Hadoop\-based bigdata applications\. \(2012 \- 2014\) 4\. Completed a research\-intensive MS at ASU, involving large\-scale analytics using Hadoop\. \(2009 \- 2011\) 5\. Campus placement: One of only 2 students placed first at Infosys Technologies Ltd from my B\.Tech IT class of 60\. \(2007\) 6\. Awarded “Best Outgoing Student” in 10th grade for excellence across academics, co\-curricular & extracurricular activities\. \(2001\) My expertise spans over: Big Data & Analytics • Redshift, BigQuery \(MPP/Columnar\) • Spark \(Databricks, AWS Glue\) • Hadoop \(Cloudera, AWS EMR\) • Snowflake Cloud Platforms • AWS • GCP Core Areas • Data Engineering • Data Lakes & Data Warehouses • Data Analytics, BI, AI & Observability • Data Catalog, Metadata & Data Governance • Low Latency Insights \(GCP Bigtable\) I’m certified as, • Cloud Analytics Master & • Cloud Analytics Architect, from Cloud Analytics Academy \(Snowflake \+ AWS\)\. GitHub: github\.com/narayanM Twitter: @NarayanGupta Currently, I’m part of Loyalty Methods Inc\. Previously, I worked at Coforge working on PMI’s data platform & prior to that at Bombora, building real\-time visitor insight systems on GCP Bigtable\. Before that, I scaled & modernized Hearst Autos’ AWS Redshift data platform, end\-to\-end pipelines, ingestion, materialized views, KPI reporting, data lake \(Spectrum\), Docker/ECS—later migrating the full stack to GCP \(Airflow/Composer, BigQuery\)\. Earlier roles include engineering positions at Cloudera, MedTrust, and Infosys\. My Master’s Thesis: “Large Scale Analytical Insights of Email Communication Patterns” \(ASU\) Repository: http://repository\.asu\.edu/items/9485

## Location

Hyderabad

## AI stack

antigravity

cursor

claudecode

## Work experience

Data Engineering Manager at Loyalty Methods, May 2024 \- Present · 2 yrs 4 mos, Hyderabad, Telangana, India, • Owned delivery of the RCX \(Reactor\-CX\) data platform providing Analytics to enterprise customers\. • Managed & scaled a 30\+ member team owning roadmap, delivery & execution quality\. • Re\-Architected ETL state management using AuroraDB improving ETL performance by 55%\. • Reduced Redshift cloud DW costs by 37% by right\-sizing node types & leveraging reserved pricing\. • Executed evolution of RCX data product from v3\.23 → v4\.6, coordinating cross\-functional teams\. • Introduced AI\-assisted development by integrating IDEs with Claude & DeepSeek Coder APIs, reducing PR turnaround time & improving code review throughput\. • Overseen onboarding & implementation of new enterprise customers, owning data migration, data profiling, mapping, validations ensuring smooth go\-lives\. stack: Redshift \(DW\), Pentaho / PDI \(ETL\), AuroraDB, PBI & QuickSight, PyCharm, Claude, DeepSeek\.

Data Architect at Coforge, Aug 2023 \- Apr 2024 · 9 mos, Hyderabad, Telangana, India, • Delivery of Financial Data Analytics for a European Retail giant \(PMI: Philip Morris International\)\. • Engineered ETL pipelines of Finance data assets from SAP to Snowflake using AWS Glue\. • Managed & Mentored a cross\-functional team of 20\+ \(Data Engineers, Data Analysts, Data Scientists, Data\-QA, DevOps\)\. stack: Snowflake\-DB, AWS Glue, PBI, Data Vault Modeling \(hubs, links, satellites\), S3\.

Data Engineer IV at Bombora, Sep 2021 \- Mar 2023 · 1 yr 7 mos, San Francisco Bay Area, • Engineered Bombora’s low latency \(100ms\) ad\-serving Insights of its Intent & Identity data\. • Led development of Airflow DAGs \(orchestration layer\), improving ad\-serving reliability\. • Collaborated on GCP BigTable Infra \(multi\-region\) setup reducing query latency\. • Engaged with vendors to evaluate & onboard new platforms & tools as per team requirements\. stack: Airflow2\.3 \(DAGs\), GCP \(BigTable, BigQuery, Dataflow, GCS

Data Architect at Hearst Autos, Apr 2020 \- Sep 2021 · 1 yr 6 mos, San Francisco Bay Area, Led Hearst Autos Data initiatives while collaborating efforts with other leads from other divisions like \*Hearst Magazines\* and \*CDS Global\* \(a Hearst Company\) to consolidate multi\-cloud landscape Migrated AWS based DW, DL & pipelines to GCP \( BigQuery, GCS, Composer \(Airflow\)\)\.

Lead Data Engineer \(Container\-ization\) at Hearst Autos, Jan 2019 \- Mar 2020 · 1 yr 3 mos, San Francisco Bay Area, Jumpstart Automotive Media is re\-branded as Hearst Autos \(a subsidiary of Hearst\)\. Architect JAM's / HA’s • Data Warehouse: Redshift \(MPP\) \(Scale out\) \(12 Node 24 TB\) Data Lake: Redshift Spectrum \(100 TB\) • Data Pipelines \(Ingestions, Materialized Views, Stored Procedures & KPI Reports\) • Workflow Go\-to person for BigData, Data Integration needs • Completed AdServer migration in 40 days\. I\.e\. update all Data Pipelines and processes to work with new AdServer\. Done with no external impact to clients/customers • Completed Docker/Container\-ization of data center based entities/processes in a single quarter\. For complete picture, Continue below

Sr Data Engineer \(BigData & AWS Cloud\) at Hearst Autos, Mar 2014 \- Dec 2018 · 4 yrs 10 mos, San Francisco Bay Area, Duties: 1\. • Design, Implement & Automation of \*DataPipelines\* \(ETL/ELT\)\(data ingestion\)\(MaterializedViews\) Stack: Redshift, Glue\(PySpark\), Spectrum, S3, GCPBucket, PostgreSQL, Python, Bash, EMR \(Saved $$\) • 13 pipelines\. Trigger subprocesses on Thresholds, wait for file arrival, handle n/w & operational errors et al • AdServer/AdExchange Data, Viewability & AdQuality Data, Sales Data, et al 2\. • Implementation & Automation of the \*KPI Reports\*, designed by Analysts for ext & int clients • 25 KPI reports Ad Campaign KPI, Car Shopping Behavior, Revenue share KPI, et al 3\. • Design & Development of Redshift\. Perform query & schema Optimizations • 12node 24TB Redshift DW & 100TB S3/Spectrum DataLake • Oversee Redshift Operations for a stable & reliable cluster, by \*Vacuum/Analyze\* & \*WLM\* Configs \+ Work with AWS SAs for Redshift health checks \+ Provide feature requests to new services: Spectrum, Glue, ETLeap, et al 4\. • Design & Implementation of \*Workflow\* to ensure dependencies btwn Ingestions/MaterialisedView/Reports Stack: Bash \(to trigger SAS & processes behind VPC/Bastion\-Host\) Others: \-> Migrations & Transitions \* Redshift Region \(West\->East\) \* Redshift Node\-type \(SSD\->HDD\) \* AdServer \(DFP\) with ever changing business needs \* Docker/Containerization \-> Empowered & Mentored with Redshift 101s\. Trained 3 Analysts with RedshiftSQL and 2 with Bash \-> Evolved JAM's data ecosystem by \+ integrating Legacy \(SAS/BI\) data to Redshift using DMS & by \+ enabling New services: Spectrum, Glue, et al \-> Built & Maintain \~9000 LoC & 90 pages of docs Summary: Lead the Development of JAM's Data Platform from \*ground up\* Highlights: \-> Proposed upfront a high performing, cost effective \(1/10th\), easy operational DW & implemented it \(Saved $$\) \-> Run the Data Engineering at Cost affective way \(Saved $$\) \-> Played an active role in replacing 3rd party analytics providers with in\-house reports \(Saved $$\)

Data Science Developer at Cloudera, Aug 2012 \- Feb 2014 · 1 yr 7 mos, Palo Alto, CA, I was part of the founding team of \*Cloudera's CCP: Data Scientist\* certification program \(hands\-on\), which successfully rolled out the first installment of the Data Science hands\-on certification\. And have certified few successful candidates\. Collaborated in developing simulated dataset\. Built and Automated testing process to evaluate end user code for scalability\. Handed out training/sample\-solutions for next installment\.

## Education

Master of Science, Computer Science, Arizona State University

Bachelor of Technology, Information Science and Technology, Velagapudi Ramakrishna Siddhartha Engineering College

## Public links

- github: https://github\.com/narayanM

[View the original profile](https://tal.club/meet/narayana-motamarri-namo)

```json
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Person",
      "@id": "https://tal.club/meet/narayana-motamarri-namo#person",
      "name": "Narayana Motamarri (NaMo)",
      "url": "https://tal.club/meet/narayana-motamarri-namo",
      "image": "https://tal.club/meet/narayana-motamarri-namo/profile-photo.jpg",
      "description": "Meet Narayana Motamarri (NaMo), Data Engineering, Cloud & BigData Leader | @Loyalty Methods, ex-(Cloudera, Bombora, HearstAutos, Coforge, Infosys); ASU, USA. based in Hyderabad. AI stack includes antigravity, cursor, and claudecode. Explore public work links including github.",
      "jobTitle": "Data Engineering Manager",
      "worksFor": {
        "@type": "Organization",
        "name": "Loyalty Methods"
      },
      "hasOccupation": {
        "@type": "Occupation",
        "name": "Data Engineering Manager"
      },
      "homeLocation": {
        "@type": "Place",
        "name": "Hyderabad"
      },
      "alumniOf": [
        {
          "@type": "EducationalOrganization",
          "name": "Arizona State University"
        },
        {
          "@type": "EducationalOrganization",
          "name": "Velagapudi Ramakrishna Siddhartha Engineering College"
        }
      ],
      "knowsAbout": [
        "antigravity",
        "cursor",
        "claudecode"
      ],
      "sameAs": [
        "https://github.com/narayanM"
      ],
      "mainEntityOfPage": {
        "@id": "https://tal.club/meet/narayana-motamarri-namo#webpage"
      }
    },
    {
      "@type": "ProfilePage",
      "@id": "https://tal.club/meet/narayana-motamarri-namo#webpage",
      "url": "https://tal.club/meet/narayana-motamarri-namo",
      "name": "Narayana Motamarri (NaMo) on Tal",
      "description": "Meet Narayana Motamarri (NaMo), Data Engineering, Cloud & BigData Leader | @Loyalty Methods, ex-(Cloudera, Bombora, HearstAutos, Coforge, Infosys); ASU, USA. based in Hyderabad. AI stack includes antigravity, cursor, and claudecode. Explore public work links including github.",
      "dateModified": "2026-08-02T02:15:57.715Z",
      "isPartOf": {
        "@id": "https://tal.club/#website"
      },
      "mainEntity": {
        "@id": "https://tal.club/meet/narayana-motamarri-namo#person"
      },
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://tal.club/meet/narayana-motamarri-namo/profile-photo.jpg",
        "contentUrl": "https://tal.club/meet/narayana-motamarri-namo/profile-photo.jpg",
        "caption": "Narayana Motamarri (NaMo) profile photo on Tal"
      },
      "inLanguage": "en-IN"
    }
  ]
}
```