---
title: "Hemant Dindi - Principal Engineer in Bengaluru | Tal"
description: "Meet Hemant Dindi, Enterprise Technology Leader | Systems Architect | Cloud, Data Platforms | Platform Engineering | Product Management | Digital Transformation based in Bengaluru. AI stack includes claude code, github copilot, and langchain."
image: "https://tal.club/meet/hemant-dindi/share-image"
---

# Hemant Dindi on Tal

## Headline

Enterprise Technology Leader \| Systems Architect \| Cloud, Data Platforms \| Platform Engineering \| Product Management \| Digital Transformation

## About

As a Principal Engineer at Mercedes\-Benz Research and Development India, I bring over a decade of experience in cloud data platforms, project estimation, program management, and program evaluation\. Currently, I lead the development of next\-generation cloud data and analytics platforms to support telemetry, diagnostics, and predictive analytics\. My role includes operationalizing enterprise\-grade tools like Azure Databricks, integrating Unity Catalog for governance, and adopting open\-source technologies like Apache Superset and Kafka\. I have a proven track record in transitioning and scaling global platforms, including the Cloud Data Platforms and Confluent, and have consistently driven modernization across cloud and data infrastructures\. My collaborative approach focuses on empowering teams, leveraging open\-source ecosystems, and implementing robust security and governance frameworks to ensure operational excellence and enterprise efficiency\.

## Location

Bengaluru

## AI stack

claude code

github copilot

langchain

Devin

LiteLLM

LM Studio

## Work experience

Principal Engineer at Mercedes\-Benz Research and Development India, Apr 2023 \- Present · 3 yrs 5 mos, Bengaluru, Karnataka, India, \- Transitioned the Cloud Data Platform and Slipstream \(a Confluent Cloud–based streaming platform\) from Mercedes\-Benz US \(MBUS\) to Mercedes\-Benz R&D India, ensuring a seamless handover and full operational ownership\. Bootstrapped and scaled new engineering teams to manage both platforms, driving continuous improvement and operational excellence\. \- Architected and delivered next\-generation cloud data and analytics platforms supporting telemetry, diagnostics, and predictive analytics\. Created and productized Azure Databricks as an enterprise offering, integrating Unity Catalog for governance, lineage, and secure data access\. \- Adopted open\-source technologies such as Apache Superset, Kafka, Druid, OpenSearch, and Airflow, deployed on Azure Kubernetes Service \(AKS\) with complete observability, monitoring, and logging\. Drove FinOps practices across Azure and Databricks, optimizing cost efficiency, compute utilization, and spend transparency\. \- Implemented DevSecOps aligned with CIS Benchmarks, Azure Defender, and Security Center recommendations\. Migrated from Pulumi to Terraform, standardizing Infrastructure as Code \(IaC\) across environments\. \- Enabled a Data Mesh architecture by integrating MIC Data Products with internal data marketplace, enabling governed and federated data sharing across domains\. Defined and enforced SLAs to ensure platform reliability and performance, while managing on\-call schedules for 24x7 operations\. \- Led delivery following SAFe Agile, overseeing sprint planning, backlog refinement, retrospectives, and daily stand\-ups\. Managed code reviews, release cycles, and continuous feedback loops to ensure engineering quality\. Mentored engineers and led a 25\+ member team, fostering a culture of innovation, accountability, and technical excellence aligned with Mercedes\-Benz’s global cloud and data strategy\.

Senior Technical Lead at Mercedes\-Benz Research and Development India, Aug 2021 \- Apr 2023 · 1 yr 9 mos, Bengaluru, Karnataka, India, After spending six impactful years in Mercedes\-Benz’s IT organization driving data platform modernization, I transitioned to the R&D division to contribute to the base platform that enables vehicle functions within the Mercedes Intelligent Cloud \(MIC\) Responsibilities \- \- Co\-architected the NextGen Data Platform with the MBUS \(Mercedes\-Benz U\.S\.\) team, establishing a unified framework for vehicle and enterprise data collection and analytics\. \- Delivered an end\-to\-end platform with integrated observability, logging, and monitoring, leveraging OPA\-based policy enforcement and security guardrails for compliance and operational excellence\. \- Developed Infrastructure as Code \(IaC\) using Pulumi \(Python\) and implemented FastAPI\-based APIs for provisioning, configuration, and automated user onboarding\. \- Championed DevOps and DevSecOps practices, enabling secure, scalable, and automated deployment pipelines\. \- Hired and scaled the India engineering team, building local capability and aligning delivery with global architecture and R&D standards\. \- Defined and enforced Service Level Agreements \(SLAs\) to ensure reliability, responsiveness, and consistent performance across all environments\. \- Drove agile ceremonies including daily stand\-ups, sprint planning, backlog refinements, and retrospectives, ensuring consistent delivery and team alignment\. \- Led code reviews, release management, and continuous feedback cycles, maintaining high engineering quality and delivery discipline\. \- Managed on\-call schedules and ensured smooth platform operations, adhering to SLAs and minimizing downtime\. \- Provided team coaching and mentoring, fostering a culture of ownership, accountability, and technical excellence\. \- Partnered with global product, platform, and cloud teams to align technical strategy and ensure successful delivery of R&D cloud initiatives\.

Principal Consultant at Mercedes\-Benz Research and Development India, Apr 2017 \- Jul 2021 · 4 yrs 4 mos, Bengaluru, Karnataka, India, Led multiple strategic initiatives that shaped the organization’s data and cloud modernization journey\. Evolved from managing large\-scale on\-premise data infrastructure to architecting cloud\-native and open\-source solutions that enabled analytics at enterprise scale\. Key Responsibilities & Achievements: \- Extended ownership of 200\+ node Hadoop clusters, ensuring continued availability, stability, and optimization while driving modernization initiatives\. \- Evaluated, implemented, and productionized the enterprise data integration platform \(Apache NiFi\), delivering a robust environment and upskilling the operations team for long\-term sustainability\. \- Planned and executed the cloud adoption strategy, migrating all on\-premise data and workloads to Azure HDInsight with zero data loss, ensuring a seamless transition and efficient handover to the cloud operations team\. \- Selected as the representative engineer from the India R&D office to contribute to the development of an analytics platform for an industry\-specific cloud initiative\. \- Architected and deployed an analytics platform on Kubernetes using fully open\-source analytics tools, enabling scalable, cost\-effective insights delivery for global users\. \- Architected and delivered a container registry platform based on open\-source Harbor, deployed across multi\-environment \(Dev, NPD, Prod\) and multi\-region \(APAC & EMEA\) setups\. \- Bootstrapped and led a women\-majority engineering team, fostering inclusion, collaboration, and technical excellence\.

Big Data Analyst & Sr\. Hadoop Administrator at Tech Mahindra, Oct 2013 \- May 2015 · 1 yr 8 mos, Greater Hyderabad Area

Senior Software Engineer at IGATE, May 2011 \- Sep 2013 · 2 yrs 5 mos, Greater Hyderabad Area

Software Engineer at IGATE, May 2010 \- Apr 2011 · 1 yr, Hyderabad

GIS Specialist @ Google \(Contract\) at Rofous, Dec 2009 \- May 2010 · 6 mos, Greater Hyderabad Area

## Education

Bachelor of Technology \(B\.Tech\.\), Information Technology, Gandhi Institute of Advanced Computer and Research \(GIACR\), Rayagada \(Formerly IACR, Rayagada\)

Higher Secondary, English, Sacred Heart School

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

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