Nishit Garg

Software Engineer

India9 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

8.5+ years in backend and data platform engineering.
Expertise in cloud-native applications and big data technologies.
Passionate about solving complex backend challenges.

Stackforce AI infers this person is a Backend Engineer specializing in scalable data platforms and distributed systems.

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Skills

Core Skills

Apache SparkDatabricksMachine Learning

Other Skills

API TestingAmazon DynamodbApache KafkaAzure Cosmos DBCC++Cloud ComputingData AnalysisData ScienceGitHadoopInformation RetrievalInternet of ThingsJavaKubernetes

About

Backend & Data Platform Engineer with 8.5+ years of experience designing and building large-scale distributed systems, scalable data platforms, and high-throughput pipelines. Proven expertise in architecting cloud-native applications, processing frameworks, and real-time data flows leveraging Spark, Databricks, Kafka, and modern big data technologies. Skilled in integrating multi-cloud environments (AWS, Azure) into backend platforms while maintaining high performance and reliability. Passionate about solving complex backend challenges, from data-intensive workflows to ML-powered automation. Strong focus on resilience, scalability, and maintainability — delivering systems that power business-critical applications at scale. Seeking backend engineering roles involving distributed systems, large-scale data processing, and platform services beyond standard API development. Avid learner who regularly supplements hands-on work with structured learning in distributed systems, ML, and modern backend technologies.

Experience

9 yrs 2 mos

Total Experience

1 yr 6 mos

Average Tenure

4 yrs 1 mo

Current Experience

Adobe

Software Development Engineer - 3

Apr 2022 – Present · 4 yrs 1 mo · Noida, Uttar Pradesh, India · Hybrid

Building and maintaining robust, cloud-native Spark jobs in Databricks to process large-scale data across AWS and Azure.
Designed a scheduled maintenance platform job for automated Delta table vacuuming, cleanup, and compaction.
Developed a generative AI pipeline (hackathon project) that summarizes past incident reports, auto-fills
templates, and recommends mitigations, reducing manual triage time by 60%.
Contributed to the enhancement of an internal segmentation engine (Kratos), improving its adaptability across Adobe Experience Platform’s streaming workloads.

Amazon DynamodbDatabricksApache Spark

Arcesium

Senior Software Engineer

Nov 2020 – Mar 2022 · 1 yr 4 mos · Gurugram, Haryana, India

Engineered scalable backend systems to manage high-throughput trade data and associated metadata.
Built features for complex attribute handling and metadata lifecycle management of trade records.

Freshworks

Senior Data Scientist

Feb 2020 – Nov 2020 · 9 mos · Hyderabad, Telangana, India

Designed ML models to classify incoming service tickets and automate workflow recommendations.
Enabled reduction in manual ticket tagging and routing using predictive field population models.

Teradata

Software Engineer-II

Aug 2018 – Feb 2020 · 1 yr 6 mos · Hyderabad Area, India

Developed and optimized ML algorithms (e.g., DBScan, TextClassifier) on distributed systems using
MapReduce.
Spearheaded a redesign of ChangePointDetection algorithm (a time series algorithm) achieving a 3.5x speedup.
Proposed new analytic functions by analyzing academic literature and building production-grade POCs.

Ibm

Software Developer - Intern

Jan 2018 – Jul 2018 · 6 mos · Bengaluru Area, India

Worked as a Backend Developer at Fiberlink (Security Business Unit) of ISL.
As a member of the Channels team, developed and delivered new features for enhancing the customers' and partners' onboarding experience.

Snapdeal

Software Engineer-I

Jul 2015 – Jul 2016 · 1 yr · Gurgaon Area, India

Developed and refactored backend services powering key e-commerce features using microservices.
Delivered REST APIs for homepage, product pages, and marketing campaigns.
Created an automation testing framework used by QA teams for API validations and identifying regressions.