Alkesh Chauhan

Director of Engineering

India15 yrs 8 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building data-driven solutions for revenue growth.
  • Proven track record in leading high-performance engineering teams.
  • Passionate about mentoring and community engagement.
Stackforce AI infers this person is a Fintech expert with strong capabilities in data engineering and product leadership.

Contact

Skills

Core Skills

Product LeadershipAgile MethodologiesProduct Management

Other Skills

AWSAlgorithmsAwkBig DataCloud ServicesCoachingCommunity EngagementConflict ResolutionData AggregationData AnalysisData StructuresDigital TransformationDistributed SystemsETLEclipse

About

I find passion in driving solutions through Data to increase $ revenue, enhance customer engagement and optimize various business processes. I leverage cutting edge technology as tools to solve complex business challenges during my work previously at companies like Amazon, American Express and Paytm. As an engineering leader at Confluent, I am responsible for enhancing customers journey at Confluent and capturing their intent to create a world class smooth sale experience. I am driven by impact and am passionate about growing and creating high performing teams. I believe in giving back and have provided multiple trainings/sessions on national and international forums on Data Analytics, Realtime Data Ingestion, Streaming Pipelines and Kafka. I also started a children book series to provide gender agnostic upbringing ideas to raise strong new age warrior children. Buy a copy here - www.amazon.com/dp/935765402X

Experience

Confluent

Engineering Manager II

Nov 2021Present · 4 yrs 4 mos

  • 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.
Product LeadershipAgile MethodologiesPublic SpeakingTeam ManagementStrategic PlanningKey Performance Indicators+18

Paytm payments bank

Senior Engineering Manager

May 2020Nov 2021 · 1 yr 6 mos

  • 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.
Product LeadershipAgile MethodologiesPublic SpeakingKey Performance IndicatorsBig DataProduct Management+13

Iron lady

Guest Speaker

Apr 2020Present · 5 yrs 11 mos

  • 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.
Public SpeakingCommunity Engagement

Freelance

Author

Mar 2020Present · 6 yrs

  • Children book series to provide gender agnostic upbringing ideas to raise strong new age warrior children. Buy a copy here - www.amazon.com/dp/935765402X
Public Speaking

Paytm

Engineering Manager / Principal Engineer

Jan 2019May 2020 · 1 yr 4 mos

  • 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
Product LeadershipAgile MethodologiesPublic SpeakingKey Performance IndicatorsProduct ManagementProduct Road Mapping+12

American express

Senior Engineer - II

Sep 2014Dec 2018 · 4 yrs 3 mos

  • 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
Product LeadershipAgile MethodologiesProduct ManagementProduct Road MappingStrategic BusinessProduct Development+4

Guavus

Sr Software Engineer - BigData

Feb 2012Aug 2014 · 2 yrs 6 mos · Gurgaon, India

  • 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.
Agile MethodologiesProduct Road MappingDistributed SystemsCoaching

Amazon

Software Development Engineer

Feb 2011Feb 2012 · 1 yr · Bengaluru Area, India

  • 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.
Distributed Systems

Amdocs

Subject Matter Expert

Jun 2010Feb 2011 · 8 mos · Gurgaon, India

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

Education

Netaji Subhas Institute of Technology

B.E. — Computer Science Engineering

Jan 2006Jan 2010

Kendriya Vidyalaya

XII

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