Deepak C.

Senior Software Engineer

Pune, Maharashtra, India5 yrs 9 mos experience

Highly Stable

Key Highlights

Architected platforms streaming 10 trillion events daily.
Reduced costs by $3.5M+, impacting over 5,000 employees.
Expertise in high-performance computing and distributed data pipelines.

Stackforce AI infers this person is a SaaS data engineering expert with a focus on high-performance computing and observability.

Contact

Skills

Core Skills

High Performance Computing (hpc)Data PipelinesObservabilityData StreamingSearch SolutionsInfrastructure Setup

Other Skills

.NETAWS EKSAWS OpenSearchAdobe Design ProgramsAdobe IllustratorAdobe Indesign CCAdobe PhotoshopAlgorithmsAmazon CloudWatchAmazon S3Amazon Web Services (AWS)Apollo GraphQLArchitectural DesignC++Data Structures

About

At NVIDIA, I architect and develop next-generation platforms that stream 10 trillion events daily—nearly 1 petabyte of data—at sub-second latency. Previously, I was part of a lean team of four that improved platform reliability and reduced costs by $3.5M+, directly impacting 5,000+ employees across the organization.My expertise lies at the intersection of high-performance computing, distributed data pipelines, and observability systems. I've spent my career pushing the boundaries of what's possible in data engineering—from ingesting 1 trillion+ logs/metrics daily to designing scalable architectures on Kubernetes, Elasticsearch, and cloud-native technologies.Before NVIDIA, I honed my craft at ACI Worldwide, working directly with the Chief Architect to design enterprise-grade data streaming solutions and search platforms using Logstash, OpenSearch, and AWS EKS.Core Focus Areas: Data Pipelines | Distributed Systems | Observability | High-Performance Computing | Platform EngineeringLet's connect at deepak20355@gmail.com if you're working on interesting problems in data infrastructure or just want to geek out about streaming at scale.

Experience

5 yrs 9 mos

Total Experience

3 yrs 2 mos

Average Tenure

2 yrs 7 mos

Current Experience

Nvidia

2 roles

Senior Software Engineer

Promoted

Mar 2025 – Present · 1 yr 3 mos · Pune, Maharashtra, India

Developing next generation platform to stream 10T events/day or nearly 1PB data/day. :) at sub second latency :)

High Performance Computing (HPC)Data PipelinesObservabilityPlatform Engineering

System Software Engineer

Nov 2023 – Mar 2025 · 1 yr 4 mos · Pune, Maharashtra, India

I am involved in research and development of High performant and scalable Data pipelines ingesting more than 1 trillion logs/metrics a day, End to End Observability and improving an existing Data Platform, handling more than 200GB ingestion per hour.
Some of achievements yet
Part of team [<4] that improved reliability and reduced costs of Observability Platform by < 3.5M $, impacting <5k employees within Nvidia, these involved mix of migration from VM's to K8's, improvements in data pipelines, optimizations in event schemas and increased metric gathering of underlying components.
Focus areas:-
High performance computing
Data Pipelines
Data Store
Observability

High Performance Computing (HPC)Data PipelinesObservabilityKubernetesAWS EKS

Aci worldwide

2 roles

Software Engineer

Promoted

Aug 2022 – Oct 2023 · 1 yr 2 mos · Pune, Maharashtra, India

SME for Report Generation @ Speedpay.
Additional Responsibilities:-
Built an advanced search endpoint using GraphQL to search our databases using SpringBoot.
Reporting solution design and development using .NET, Kibana, Elasticsearch.
AWS OpenSearch Service architecture design for Billers platform.
Designed and developed algorithm to convert old schema to new schema using .NET to support search capabilities in new data-lake backend.
Identifying pain-points in platform infrastructure and designing/documenting solutions to address them.

GraphQL.NETKibanaElasticsearchAWS OpenSearchData Streaming+1

Associate Software Engineer

Aug 2020 – Aug 2022 · 2 yrs · Pune, Maharashtra, India

Working under the guidance of Chief Architect of ACI Worldwide to design and develop solutions in Data streaming domain. Responsible for end-to-end design and development of data pipelines based on Elastic Logstash and setting up the infrastructure, setting test parameters and monitoring of the same.
Tech Stack:-
Logstash, Elasticsearch, Kibana, Docker, AWS EKS, RabbitMQ, Grafana, Prometheus, OpenAPI
Also, leading end-to-end development and architecture to design and deploy REST API to bolster search capabilities of SpeedPay 2.0
Techstack:- Java, SpringBoot, Opensearch, EKS
Also, to do PoC's in something new and document it's use-cases for further releases.

LogstashElasticsearchKibanaDockerAWS EKSData Streaming+1