MANISH SWARNAKAR

Software Engineer

Bengaluru, Karnataka, India13 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

8.5+ years in E-Commerce IT industry.
Expert in developing high-scale distributed microservices.
Led technical teams to deliver complex projects.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the E-Commerce sector.

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Skills

Core Skills

MicroservicesRestSpring

Other Skills

AntAnt ScriptApache FlumesApache SqoopBackend ServicesBig DataCC#C++Caching frameworksCore JavaData StructuresEclipseEvent Based Distributed Micro-servicesFrontend Services

About

• 8.5+ yrs of experience on Product Based E-Commerce IT industry. Experience in working and developing high scale distributed rest based Micro-Services. Active participant on High Level and Low level designing and guiding fellow team mates working on Client-Server (REST WebServices) architecture. • Scalable data Pipelines using Kafka Streams and ETL jobs.

Experience

Intuit

2 roles

Staff Software Engineer

Promoted

Feb 2025 – Present · 1 yr 1 mo

Senior Software Engineer

Jun 2021 – Feb 2025 · 3 yrs 8 mos

Problem Solver - Distributed Systems

Airtel x labs

2 roles

Senior Lead Engineer

Promoted

Dec 2020 – May 2021 · 5 mos

Leading all technical aspect of CLM Portal (Campaign Management Portal) of Airtel.
Designed and Created all Rest and Event Based Distributed Micro-services. Design all Backend and Frontend services to serve more than million notifications a day.
Involved actively in low level design, code implementation, code review, deployment and guiding/supporting juniors.
Leading a team of around 6 engineers spanning development, quality and support engineers.

MicroservicesRESTEvent Based Distributed Micro-servicesBackend ServicesFrontend Services

Technology Lead

Oct 2018 – Nov 2020 · 2 yrs 1 mo

Makemytrip.com

2 roles

Senior Software Engineer II

Promoted

Apr 2017 – Oct 2018 · 1 yr 6 mos

Building performance driven, secure and highly scalable fault tolerant backend eCommerce platforms
Create a framework to plugin any source for reviews. Integrated Whatsapp, Desktop and App as input source using the framework for intake of reviews.
Create personalised Questionnaire for Traveller Reviews based on user behaviour and multiple futuristic predictive requirements based on experimental data models.
Compare and apply best hotelier promotion for different channel at a very competitive fast processing time for multiple inventories.
Technologies - Spring, Hibernate, Microservices, In-memory/distributed caching frameworks (Redis, Couchbase etc.), NOSQL Storage (MongoDB), Grafana monitoring, Jmeter, Json/XML, Kafka, Hive etc.

SpringHibernateMicroservicesCaching frameworksNOSQL StorageKafka+1