Summary
Overview
Work History
Education
Skills
Timeline
Hi, I’m

Atul Sharma

Seasoned Data Engineering Manager & Architect
Noida,Uttar Pradesh
Atul Sharma

Summary

Senior Data Engineering Manager with 12+ years of expertise, specializing in architecting high-impact data platforms and leading large-scale teams. I led the design and implementation of one of Asia's largest and most scalable Data Lakes, transforming raw data into critical business assets. I am a hands-on leader skilled in building and mentoring high-performing engineering teams from the ground up, ensuring operational excellence and continuous innovation. Currently, I am driving cloud-native data strategy across AWS, GCP, and Azure (including hybrid Cloudera migration) while pioneering the integration of AI/ML and Data Observability platforms. I turn data strategy into cost-efficient, production-ready solutions

Overview

12
years of professional experience
2
Languages

Work History

Nielsen Media

Senior Data Engineering Manager / Architect
09.2024 - Current

Job overview

  • Key Projects – Audience Measurement - Television(National & Local), Streaming Platform, Fulfilment Center, Universe Estimates
  • Strategic Leadership (Data Mesh) - Led a 40+ team of Mid-to-Principal engineers, defining the data strategy and architecting a Data Mesh-inspired platform for the critical US Audience Measurement product to establish domain ownership and data-as-a-product.
  • Cloud Architecture & DevOps (IaC) - Architected the org's scalable data platform (EMR, S3, Glue, Redshift) by implementing Infrastructure as Code (Terraform) and CI/CD pipelines, automating 90% of infrastructure provisioning and enforcing architectural consistency.
  • Cost Optimization & Cloud-Native Ops (EKS) - Drove a 50% AWS cost reduction ($75k/month) for Local TAM by leading the strategic migration of Spark workloads to EMR on EKS, optimizing pod-level resource allocation and auto-scaling.
  • Pipeline Intelligence & Observability (AI) - Engineered resilient real-time (Kafka, Spark Streaming) and batch (Airflow) pipelines processing 50 TB/day; slashed data downtime by 40% by implementing a Data Observability platform (Monte Carlo/Soda) to proactively detect data quality anomalies.
  • Stakeholder & MLOps Enablement (AI) - Partnered with Data Science stakeholders to build the company's first MLOps framework, architecting reusable data pipelines and deploying a Databricks Feature Store to accelerate model training and deployment.

Jio Platforms Limited

Senior Data Engineering Manager / Architect
03.2019 - 09.2024

Job overview

  • Key Projects – Real Time Event & Analytics Platform, JioCinema – IPL Analytics, Customer 360, Reliance Hospital Analytics, Jio Financial Services Analytics, On premise&Cloud Migrations for 1000+ ETL Jobs and Dashboards
  • Strategic Leadership & Team Building: Built and scaled a high-performing team of 30+ Mid-to-Senior engineers from scratch, owning the end-to-end design, development, and maintenance of all data pipelines, infrastructure, and delivery.
  • Data Mesh Architecture: Architected and implemented a decentralized, large-scale Data Mesh platform to drive domain-oriented data ownership, leveraging Apache Spark for compute, Kafka for real-time ingestion, and Grafana for platform-wide observability.
  • High-Volume, Real-Time Processing (Cost & Performance): Engineered and managed a high-throughput data platform for the IPL Cricket League, processing 2.5 million TPS (30 TB/day).
  • Cloud & Pipeline Optimization: Achieved a 30% reduction in data processing time and a 70% cloud cost reduction on the IPL platform through aggressive Spark tuning, strategic EMR/Dataproc architecture choices, and optimized resource management.

ZS Associates

Associate Consultant
01.2018 - 02.2019

Job overview

  • Architected the central ingestion framework for the enterprise Data Lakehouse (Delta Lake/Iceberg)
  • Leading a 10-engineer team to integrate 20+ disparate data sources (Kafka, APIs, RDBMS). Standardized deployments using Terraform (IaC) and Airflow, enabling self-service onboarding for new data domains in alignment with our Data Mesh strategy.

Wunderman Thompson(a Salmon Company Before)

Associate System Analyst
02.2016 - 01.2018

Job overview

  • Executed the end-to-end strategic migration of legacy on-premise Hadoop/Cloudera clusters to a cloud-native AWS platform (EMR, S3, Redshift). This program automated 100% of the new infrastructure using Terraform (IaC), resulting in a 40% reduction in TCO and simultaneously upskilling the entire engineering team on modern cloud data services.

Cognizant

Programmer Analyst
02.2014 - 01.2016

Job overview

  • Development on Enterprise Data Lake on the Hadoop ecosystem (Hortonworks), enabling large-scale advanced analytics. This platform standardized Apache Spark (Scala/Python) and Hive for batch processing, Kafka for real-time ingestion, and Oozie for workflow orchestration, replacing legacy ETL systems.

Education

Uttar Pradesh Technical University(UPTU)
Lucknow

Bachelor of Technology from CSE
07-2013

Skills

Timeline

Senior Data Engineering Manager / Architect

Nielsen Media
09.2024 - Current

Senior Data Engineering Manager / Architect

Jio Platforms Limited
03.2019 - 09.2024

Associate Consultant

ZS Associates
01.2018 - 02.2019

Associate System Analyst

Wunderman Thompson(a Salmon Company Before)
02.2016 - 01.2018

Programmer Analyst

Cognizant
02.2014 - 01.2016

Uttar Pradesh Technical University(UPTU)

Bachelor of Technology from CSE
Atul SharmaSeasoned Data Engineering Manager & Architect