Profile

Alkesh Chauhan

Engineering Leader at Confluent | Ex-Amazon, AmericanEx, Paytm

13.7

Years of Experience

Education

nsit

Companies

confluent, paytm payments bank, iron lady, paytm, amex, guavus, amazon, amdocs

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Email (Verified)

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+9XXXXXXXXX31

Experience

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    2021 - Present

    confluent

    Engineering Manager II

    Building a flexible, accurate, performant, and robust monetization platform responsible for supporting flexible pricing and payments, on-demand bill generation allowing Confluent to define and sell products globally.

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    2020 - 2021

    paytm payments bank

    Senior Engineering Manager

    Delivering solutions and driving development of fast data and realtime ingestion pipelines for Paytm Bank components. Working on solving complex challenges towards serving realtime data needs of multiple use-cases like passbook, statements and rule engines. Hands on with coding/development and working with various stakeholders and helping convert requirements into working tech modules. Managing, mentoring and performance review of engineers. Participating actively in hiring and nurturing of talent.

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    2020 - Present

    iron lady

    Guest Speaker

    Volunteer and Guest Speaker at IronLady Community to guide and support women in corporate through Art of War Fundamentals and modern day warrior techniques to win at corporate.

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    2019 - 2020

    paytm

    Engineering Manager / Principal Engineer

    Created and delivered analytics panel for UnifiedMerchantPanel. Vital business kpi’s like successrate, txn rate etc were displayed on this panel. Payment Gateway Kafka streams were read in Spark Streaming and selected metrics were exported to ES. This has been used to aggregate business critical metrics on query time and for search purposes. 4million merchants are using UMP panel on daily level, with 10million number of queries hitting the ES per day. VMN While Virtual Mobile Number (VMN) project was created to support field agents who need information about their visiting merchants, to look at his attributes to be able to onboard/upgrade/sell insurance or loans. These attributes were being pulled from various sources and we created multiple aggregated datasets to finally merge them together to serve these attributes. 4k fse’s hit this service everyday during business hours. Roles & Responsibilities: ¥ Analysis of requirements with BusinessTeams, HL&LL design and integration of modules. ¥ Development of modules in Kafka, Spark Streaming, ES. BusinessPlanningPerformanceMetrics BPPM This project was directly asked from CEO & CDO, to enable Paytm to make data-driven decisions. Worked closely with Business teams to understand their daily challenges in pulling data and came up with a robust plan to automate the entire process, which involved creating an aggregated layer which can directly be fetched by BAs without being dependent on raw tables & dwh resources availability. For rendering this merchant,txn,user level information on map with dimensions/metrics, we used MapMyIndia Apis. These aggregated facts/olaps were also moved to BigQuery through GoogleCloud to enable querying and also for Dashboarding purposes on GoogleDataStudio. Roles & Responsibilities: ¥ Analysis of requirements with BusinessTeams, HL&LL design ¥ Development of modules in Hive, Spark, ES ¥ Sync Process to sync data from hadoop cluster to S3 and BQ via GCS

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    2014 - 2018

    amex

    Senior Engineer - II

    Project : Opera Offer Recommendation System Opera uses browser history of American express card users through adobe clickstream data, and other sources tracked through cookies which contain customer level event details. This information is used to find out patterns and similarities between customer-customer, offer-offer and customer-offer. Machine Learning algorithms like collaborative filtering and catboost Boosting Algorithms are utilized to rollup this data and provide recommendations for users at real-time when they login through website/mobile app. The system caters to around 2 million calls/day and churns about 100Tb of data per day. Roles & Responsibilities: • Analysis of requirements, high level design. • Lead low level design and integration of modules. • Development of modules in Hadoop MapReduce, Hive, Spark,Java. • Used Hbase for L2 cache, and Redis for fast lookup. • Used oozie for job scheduling, monitoring and failure recovery. Project : Hubble Graph Database & Telescope Querying Engine Hubble is a platform to provide graphical view over the AmEx transactional database. It provides a graphical view of analyzing the relationships between Customers and Merchants. Telescope layer sits on top of Hubble and provides an interface for users to query Hubble. It enables the users to design ad-hoc queries to Hubble. Implemented Market Basket Analysis to calculate apriori scores for customer-offer similarity. Roles & Responsibilities : • Designed and development using Hbase, Java and MapReduce Jobs using Redis, Solr . • Developed Market Basket Analysis using aprioi algorithm on distributed Hdfs environment

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    2012 - 2014

    guavus

    Sr Software Engineer - BigData

    Project : Verizon Realtime Analysis Generation of hourly subscriber level report for Verizon Broadband. In earliest deployment scenarios tool was required to work with input data rate of 9 million subscribers, 9kFps IPFIX, 2000 Gateway Routers, 2000 Bulkstats- Interface/qos files. Daily processing of around 4.5billion records /day. Roles & Responsibilities: • Framework Design and analyzing requirements. • High level and low level Design of components. • Implemented SPARK jobs in Java and Scala for modules. Project : Sprint Auto Device Detection Auto-Discovery of network elements for Sprint Communications based on its IP Address. The framework would pick up Sprint data with network input, DNS dumps and merge this data with the standard naming conventions provide by device manufacturers to analyze and compute the device type. Roles & Responsibilities: • Framework design and analyzing requirements. • Implemented HADOOP MAP REDUCE jobs for annotation logic, parsing and lookup • Used OOZIE to schedule these jobs at regular intervals.

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    2011 - 2012

    amazon

    Software Development Engineer

    Worked as a Software Development Engineer for Endless.com team which focused exclusively on shoes and accessories, now called Amazon Fashion. Implemented highly-reliable, multithreaded and high throughput features. Endless.com was Amazon’s first separate e-commerce brand and it launched sites in Japan, UK, France and Germany. Roles & Responsibilities: • Involved in design and development of backend architecture. • Development using data structures, algorithms and finest analytical skills to reduce latency on site. • Worked on enhancing search experience on the site • Worked on feature enhancements on product pages.

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    2010 - 2011

    amdocs

    Subject Matter Expert

    Worked as SME-I Developer on designing, developing and debugging/maintenance of software systems in Amdocs

Experience

72 Skills

Algorithms

Algorithms

Amazon S3

analytics

apache

Apache Hive

Apache Spark

Application Programming Interfaces (API)

architecture

architecture

Awk

backend

Backend

Big Data

Big Data

business planning

Cassandra

Core Java

Data Analytics

Data Structures

Debugging

Design

E-commerce

Eclipse

Education

Elastic Search

ElasticSearch

Extract, Transform, Load (ETL)

Google BigQuery

Hadoop

Hadoop

HBase

Hibernate

Hiring

Hive

Hive

Integration

ios

IP

Java

Java

kafka

Kafka

Kafka Streams

Leadership

Linux

Logstash

Low-Level Design

Machine Learning (ML)

MapReduce

ml

Mobile

Multithreading

MySQL

Oozie

oozie

Payments

PostgreSQL

Problem Solving

Programming

Python

Recommendation system

Redis

Routers

Scala

Scala

Search

Senior Software Engineer

Shell Scripting

Software Development

Software Engineer

Spark

Education

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    2006 - 2010

    nsit

    B.E.

    Computer Science Engineering

Colleagues at confluent

Austin Cawley-Edwards

Staff Software Engineer

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Abhilash Kumar

Head of Talent Acquisition, India

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Ayush Mundra

Senior Software Engineer

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Ayush Tomar

Software Engineer

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Others named Alkesh

Alkesh Chauhan

Engineering Manager II

 at confluent

Alkesh Jaiswal

Software Engineer

 at confluent

Alkesh Shah

Senior Technology Recruiter

 at confluent

Alkesh Jethava

Software Developer

 at confluent

Alkesh Jethava

Software Engineer

 at confluent

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Colleagues at paytm payments bank

Avinash Uchchainiya

Senior Software Engineer

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Avinash Garg

Director Of Engineering

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Show more