sangam dubey — Senior Software Engineer

Currently working in promotions team of paytm where my responsibilities comprises of making robust backend for easy application of promocodes and implementing features linking promocode application and cashback flows. Looking forward to learning new things and solving good problem statements. below are some of my projects. VIP Cashback ● Description:- User will get a offer on every transaction stating that you will get higher cashback if you do x number of transaction in specific period of time. On completion of offer user will be credited with the higher cashback amount. ● Role:- Designing the architecture of the solution. Preparing pipeline to ingest all the transactions done on paytm including all platforms like wallet,paytm bank, payment gateway,UPI. Prepare cashback assembly for new feature. ● TechStack used:- Kafka,rabbitmq,nodejs,elasticsearch,storm,data dog,logstash,python Multipromo ● Description:- User can apply multiple promocode on single cart so that they can get benefits available on different items in single checkout. ● Role:- Design and implement the solution to make user apply multiple promocode in single checkout. ● Techstack used:- nodejs,elasticsearch,rabbitmq. ELK Pipeline ● Description:- Prepare ELK pipeline to transport application and nginx logs to Elasticsearch using logstash and visualize them on kibana. Setting up alerts using elastalert to get notify in case of anomaly or issue. ● Role:- Designing the architecture. Convert the Logs in specified format to get it ingested. Setup logstash and kibana.Setup elastalert to get the notification. ● Techstack used:- nodejs,elasticsearch,kibana,logstash,rabbitmq Lifafa ● Description:- User will get digital lifafa on every purchase on paytmmall which will include coupons,cashbacks,promocode,discounts etc. ● Role:- Prepare panel to visualize the issues and progress of the orders including lifafa in it. ● TechStack used:- nodejs,elasticsearch,kibana

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and EdTech solutions.

Location: Ghaziabad, Uttar Pradesh, India

Experience: 11 yrs 7 mos

Skills

Backend Development
Database Management
Data Processing
Data Visualization
Log Management
Search Engineering
Data Management

Career Highlights

Expert in backend development and data processing.
Proven track record in search engineering and algorithm design.
Strong experience in fintech and edtech industries.

Work Experience

Paytm

Senior Software Engineering (8 yrs 1 mo)

Software Engineer (8 yrs 10 mos)

Times Internet

Sofware Engineer Search (6 mos)

Snapdeal

Software Engineer (2 yrs 3 mos)

Education

Bachelor of Technology (B.Tech.) at galgotias college of engineering and technology

12th at Deep Memorial Public School Ghaziabad CBSE

10th at Deep Memorial Public School Ghaziabad CBSE

sangam dubey

Senior Software Engineer

Ghaziabad, Uttar Pradesh, India11 yrs 7 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in backend development and data processing.
Proven track record in search engineering and algorithm design.
Strong experience in fintech and edtech industries.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and EdTech solutions.

Contact

Skills

Core Skills

Backend DevelopmentDatabase ManagementData ProcessingData VisualizationLog ManagementSearch EngineeringData Management

Other Skills

nodejselasticsearchkafkarabbitmqactivemqkibanahivemysqlcassandrastormdata doglogstashpythonjavaWeb Development

About

Experience

11 yrs 7 mos

Total Experience

3 yrs 10 mos

Average Tenure

8 yrs 10 mos

Current Experience

Paytm

2 roles

Senior Software Engineering

Apr 2018 – Present · 8 yrs 1 mo · Noida Area, India

nodejselasticsearchkafkarabbitmqactivemqkibana+5

Software Engineer

Jul 2017 – Present · 8 yrs 10 mos · Noida Area, India

Currently working in promotions team of paytm where my responsibilities comprises of making
robust backend for easy application of promocodes and implementing features linking
promocode application and cashback flows.
Techstack used:- nodejs,elasticsearch,kafka,rabbitmq,activemq,kibana,hive,mysql,cassandra
below are my importan projects:-
VIP Cashback
● Description:- User will get a offer on every transaction stating that you will get higher cashback
if you do x number of transaction in specific period of time. On completion of offer user will be
credited with the higher cashback amount.
● Role:- Designing the architecture of the solution. Preparing pipeline to ingest all the transactions
done on paytm including all platforms like wallet,paytm bank, payment gateway,UPI. Prepare
cashback assembly for new feature.
● TechStack used:- Kafka,rabbitmq,nodejs,elasticsearch,storm,data dog,logstash,python
Multipromo
● Description:- User can apply multiple promocode on single cart so that they can get benefits
available on different items in single checkout.
● Role:- Design and implement the solution to make user apply multiple promocode in single
checkout.
● Techstack used:- nodejs,elasticsearch,rabbitmq.
ELK Pipeline
● Description:- Prepare ELK pipeline to transport application and nginx logs to Elasticsearch using
logstash and visualize them on kibana. Setting up alerts using elastalert to get notify in case of
anomaly or issue.
● Role:- Designing the architecture. Convert the Logs in specified format to get it ingested. Setup
logstash and kibana.Setup elastalert to get the notification.
● Techstack used:- nodejs,elasticsearch,kibana,logstash,rabbitmq.
Lifafa
● Description:- User will get digital lifafa on every purchase on paytmmall which will include
coupons,cashbacks,promocode,discounts etc.
● Role:- Prepare panel to visualize the issues and progress of the orders including lifafa in it.
● TechStack used:- nodejs,elasticsearch,kibana

elasticsearchnodejscassandrajavaSearch EngineeringData Management

Times internet

Sofware Engineer Search

Jan 2017 – Jul 2017 · 6 mos · Noida Area, India

Worked in new subsidiary of times internet called gradeup for e-learning as search engineer. Build search system for the e-learning portal end to end.
Below are my important projects:-
Global Search Improvement
● Description:- Revamping global search algorithm to search all the posts created on the platform
and provide user good searching experience.
● Role:- Design and implement new algorithm to provide relevant searches while searching for any
query on the platform.
● TechStack used:- elasticsearch,nodejs
Elasticsearch Migration from 1.7 to 5.4
● Description:- Migrating elasticsearch from version 1.7 to version 5.4 to use optimized indexing
and searching of data.
● Role:- Design the architecture and build the configuration of elasticsearch, changed the code
according to the latest version.Implemented the changes on production.
● TechStack used:- elasticsearch,nodejs,casssandra,java
Vernacular
● Description:- Providing support for multiple languages on the platform so that user can search
the content according to the preference.
● Role:- Design the solution to provide generalized support for various languages on the
platform.Made elasticsearch compatible for the same.
● TechStack used:- elasticsearch,nodejs
Suggested Post
● Description:- Provide relevant suggestion or similar posts to the user based on the navigation
history of the user.
● Role:- Design and implement the algorithm to provide weighted score to the categorisation of the
user and then show the relevant posts to the user in the search.
● TechStack used:- elasticsearch,nodejs

Snapdeal

Software Engineer

Oct 2014 – Jan 2017 · 2 yrs 3 mos · Gurgaon, India

I am currently working in the search team of snapdeal and supports search component of the same to make it functional all time and enhance the working of the same by adding new features to it. all my projects are mentioned below :-
Snapsearch (Chrome and Mozilla Firefox Extension of Snapdeal):-
Google Chrome and Mozilla Firefox Extension with functionality like Image search,typed search,top offers ,trending search,track price and availability,auto notification,feedback mechanism with first time auto tutorial on installation.
URL on chrome storehttps://chrome.google.com/webstore/detail/snapsearch/blaljkoghfipfkcgmlijfabkelikfmaf/related?hl=en
URL on mozilla store https://addons.mozilla.org/en-US/developers/addon/snapsearch-1/versions
Trending Searches:-
Web Page for Trending Searches and redirection to that item.
URL for the link is :- http://www.snapdeal.com/p/trending-searches
Related Searches:-
Backend mapping of all the related searches shown on the snapdeal web page .
Search Metric Dashboard:-
Dashboard to represent critical search metrics like search contribution, CTR, CVR, Revenue etc .
Backend Data Automation:-
Automating backend data for dashboard by crunching the logs and doing calculation over it using Spark Framework.
Integrating Search With Data Platform:-
Using Spark Framework write utility to fetch Data needed for Analysis of Search Performance.
Mailing Framework:-
Mailing Framework to send automated mail based on the information taken from the databases .
Search Admin:-
Search Admin to add , edit , delete shard mapping in the database and fetch the same to represent on the user interface.