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Gagan Nayyar

Senior Manager - Data Engineering

Bengaluru

6+ years of work experience

Kenvue
Jul 20251 yr 4 mosPresent

Bengaluru

Enterprise Data Architecture:  Lakehouse/warehouse reference architectures, domain integration patterns, data modeling & standards Data Platform Engineering: Self-service platform enablement, deployment standardization, CI/CD for data, environment automation Streaming & Real-time Analytics: Kappa architectures, stateful processing, burst handling, near-real-time metrics Governance, Security & Compliance: Access controls, policy-driven data handling, quality frameworks, SLAs/SLOs Engineering Leadership: Org scaling, mentoring, ways of working, cross-functional delivery, CXO partnership & roadmap ownership Cloud: Azure & AWS    Lakehouse/Warehouse: Databricks, Snowflake, Apache Iceberg   Streaming/Compute: Apache Flink, Apache Spark   Orchestration/DevOps: Airflow, Jenkins, Terraform, Docker, Kubernetes   Languages: (Dev): Python, SQL (data pipelines): Java, Scala,  SQL (platform tooling/services): Golang, Rust BI/Analytics: Power BI, Tableau, Domo (Limited Exposure) ML/GenAI: LLM pipelines, NLP, Generative AI, Azure OpenAI, GPT, Claude, LLM, RAG, LANG CHAIN ·    Lead enterprise data engineering and analytics operations across 48 global markets with data from 26 syndicated suppliers including Nielsen, IRI, Circana and Stackline. Own direct Data Engineering teams and dotted-line leadership over MLOps and AI Engineering teams. ·    Architected and personally developed a multi‑cloud lakehouse ecosystem using Databricks, Snowflake and Apache Iceberg processing more than 2TB of data daily.  ·    Implementation of Snowflake and Databricks with governance and security measures for syndicated data and digital shelf data. Designed and implemented enterprise governance, access controls and secure data handling across analytics zones and consumption layers. ·    Solving global schema‑drift challenges in syndicate data using Iceberg schema evolution to ensure uninterrupted downstream dashboards and resilient BI layers.
Kenvue
Oct 20231 yr 9 mosJun 2025

Heptagon Technologies (A Quess Corp Company)
Nov 20221 yrOct 2023

·    Managed offshore team of ~40 data engineers and architects delivering data platform services for multi-region clients. ·    Designed and implemented enterprise data hub on Azure Synapse and AWS S3; enabled real-time analytics for 50+ business units. ·    Led Snowflake migration and ETL automation using Azure Data Factory and Airbyte, cutting tool license costs by 40%. ·    Introduced MLOps framework on AKS with containerized deployments, reducing model release time by 60%. ·    Optimized Snowflake warehouse compute with clustering keys and caching policies cutting query costs by 25%. ·    Integrated Terraform and Docker for automated environment setup and workload portability.
Teleperformance
Sep 20211 yr 3 mosNov 2022

India

Heptagon Technologies Pvt Ltd
Feb 20218 mosSep 2021

Cerner Corporation
May 202010 mosFeb 2021

Bengaluru, Karnataka, India

Gagan’s AI Stack

gemini
gemini
github copilot
github copilot
hugging face
hugging face
mcp
mcp
huggingface
huggingface
ChatGPT
ChatGPT

Education

Indian Institute of Management, Shillong

Master of Business Administration - MBA, Business Administration and Management, General

Indian Institute of Management, Shillong

20181 yr2019
Institute of hotel management

B.sc in Hospitality Management and Catering Technology, Food and Beverage Service

Institute of hotel management

20073 yrs2010

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Headline

Senior Manager - Data Engineering

About

Data Engineering & Analytics leader with 17 years of experience building and scaling enterprise data engineering organizations, lakehouse/data platform ecosystems, and governed analytics services across  multi-cloud environments. Track record of modernizing platforms (batch + streaming), embedding security/governance, and delivering measurable impact through cost optimization, schema resilience, and AI/GenAI-enabled data enrichment. Strong in architecture (blueprints & standards), platform engineering practices, and global stakeholder leadership, leading multi-disciplinary teams to deliver enterprise-grade data products.

Location

Bengaluru

AI stack

gemini

github copilot

hugging face

mcp

huggingface

ChatGPT

Work experience

Data Engineering, Senior Manager at Kenvue, Jul 2025 - Present · 1 yr 4 mos, Bengaluru, Enterprise Data Architecture: Lakehouse/warehouse reference architectures, domain integration patterns, data modeling & standards Data Platform Engineering: Self-service platform enablement, deployment standardization, CI/CD for data, environment automation Streaming & Real-time Analytics: Kappa architectures, stateful processing, burst handling, near-real-time metrics Governance, Security & Compliance: Access controls, policy-driven data handling, quality frameworks, SLAs/SLOs Engineering Leadership: Org scaling, mentoring, ways of working, cross-functional delivery, CXO partnership & roadmap ownership Cloud: Azure & AWS Lakehouse/Warehouse: Databricks, Snowflake, Apache Iceberg Streaming/Compute: Apache Flink, Apache Spark Orchestration/DevOps: Airflow, Jenkins, Terraform, Docker, Kubernetes Languages: (Dev): Python, SQL (data pipelines): Java, Scala, SQL (platform tooling/services): Golang, Rust BI/Analytics: Power BI, Tableau, Domo (Limited Exposure) ML/GenAI: LLM pipelines, NLP, Generative AI, Azure OpenAI, GPT, Claude, LLM, RAG, LANG CHAIN · Lead enterprise data engineering and analytics operations across 48 global markets with data from 26 syndicated suppliers including Nielsen, IRI, Circana and Stackline. Own direct Data Engineering teams and dotted-line leadership over MLOps and AI Engineering teams. · Architected and personally developed a multi‑cloud lakehouse ecosystem using Databricks, Snowflake and Apache Iceberg processing more than 2TB of data daily. · Implementation of Snowflake and Databricks with governance and security measures for syndicated data and digital shelf data. Designed and implemented enterprise governance, access controls and secure data handling across analytics zones and consumption layers. · Solving global schema‑drift challenges in syndicate data using Iceberg schema evolution to ensure uninterrupted downstream dashboards and resilient BI layers.

Data Engineering & Analytics, Manager at Kenvue, Oct 2023 - Jun 2025 · 1 yr 9 mos

AVP - Data Solution at Heptagon Technologies (A Quess Corp Company), Nov 2022 - Oct 2023 · 1 yr, · Managed offshore team of ~40 data engineers and architects delivering data platform services for multi-region clients. · Designed and implemented enterprise data hub on Azure Synapse and AWS S3; enabled real-time analytics for 50+ business units. · Led Snowflake migration and ETL automation using Azure Data Factory and Airbyte, cutting tool license costs by 40%. · Introduced MLOps framework on AKS with containerized deployments, reducing model release time by 60%. · Optimized Snowflake warehouse compute with clustering keys and caching policies cutting query costs by 25%. · Integrated Terraform and Docker for automated environment setup and workload portability.

Director Data Science at Teleperformance, Sep 2021 - Nov 2022 · 1 yr 3 mos, India

Senior Manager Analytics at Heptagon Technologies Pvt Ltd, Feb 2021 - Sep 2021 · 8 mos

Lead - Analytics at Cerner Corporation, May 2020 - Feb 2021 · 10 mos, Bengaluru, Karnataka, India

Education

Master of Business Administration - MBA, Business Administration and Management, General, Indian Institute of Management, Shillong

B.sc in Hospitality Management and Catering Technology, Food and Beverage Service, Institute of hotel management