Naresh Kumar — CEO

I am a Principal Architect at Tokopedia, the leading e-commerce platform in Indonesia and a subsidiary of GoTo Group, the largest technology group in the region. With over 11 years of experience in data engineering and architecture, I have a strong background in designing and implementing data platform solutions that enable hyper-personalization, data discovery, and data quality across multiple business units and domains. In my current role, I am working on envisioning and overseeing the Unified Customer Data Platform for four subsidiaries of GoTo Group, which will remove the need for siloed technologies and enhance the customer experience on the e-commerce journey. I am also guiding and leading the implementation of the Domain Data Platforms (Data Mesh) framework, which will provide decentralized and self-service data access and governance for each business unit. Additionally, I am responsible for various cost-saving and optimization initiatives for the data platform, which have resulted in significant savings of over 200k/month. My passion for data drives me to explore new technologies, contribute to the open-source community, and share my knowledge with others. I have built and open-sourced a data quality framework using Spark and Pandas in Python, which offers custom validation checks, data profiling, and anomaly detection. I also hold a Certificate in Advanced Business Analytics from the Indian School of Business, where I learned how to apply data science and machine learning techniques to solve business problems. I am always eager to learn, collaborate, and innovate in the fast-paced and evolving field of data.

Stackforce AI infers this person is a Data Engineering expert in E-commerce and Open Source domains.

Location: Noida, Uttar Pradesh, India

Experience: 12 yrs 9 mos

Skills

Data Architecture
Data Engineering
Data Quality

Career Highlights

Led the design of a Unified Customer Data Platform.
Achieved significant cost savings through data platform optimizations.
Open-sourced a comprehensive data quality framework.

Work Experience

Tokopedia

Principal Architect - Data Platform (3 yrs 5 mos)

Technical Architect - Data Platform (1 yr 11 mos)

Lead Data Engineer (1 yr 3 mos)

Airtel Digital

Lead Data Engineer (1 yr 4 mos)

Innovaccer

Senior Data Engineer/Engineering Manager (1 yr 4 mos)

Data Engineer (1 yr 8 mos)

Mu Sigma Inc.

Data Engineer (1 yr 10 mos)

Education

Certificate in Advanced Business Analytics at Indian School of Business

Bachelor of Engineering - BE at Army Institute of Technology (AIT), Pune

Senior Secondary Certificate at Kendriya Vidyalaya

Secondary Certificate at Kendriya Vidyalaya

Naresh Kumar

CEO

Noida, Uttar Pradesh, India12 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Led the design of a Unified Customer Data Platform.
Achieved significant cost savings through data platform optimizations.
Open-sourced a comprehensive data quality framework.

Stackforce AI infers this person is a Data Engineering expert in E-commerce and Open Source domains.

Contact

Skills

Core Skills

Data ArchitectureData EngineeringData Quality

Other Skills

API DevelopmentAmazon Web Services (AWS)Analytical SkillsAnalyticsApache AirflowApache KafkaApache SparkArchitectureBatch ProcessingBig DataBigTableBusiness Intelligence (BI)CassandraClient ManagementCommunication

About

Experience

12 yrs 9 mos

Total Experience

3 yrs 2 mos

Average Tenure

6 yrs 7 mos

Current Experience

Tokopedia

3 roles

Principal Architect - Data Platform

Promoted

Jan 2023 – Present · 3 yrs 5 mos · Noida, Uttar Pradesh, India · On-site

Currently working on envisioning and designing Unified Customer Data Platform for multiple subsidiaries (4) of GoTo Group. This will remove need of siloed technologies for hyper personalization of customer behaviors on ecommerce journey
Envisioned and architected a high level structure of Domain Data Platforms (Data Mesh) for business units. Currently overseeing the implementation with a team of 28 data engineers
Guiding and overseeing the implementation of Unified Feature store considering data governance, security, PII policies etc

Data EngineeringData ArchitectureData GovernanceCustomer Data Platform

Technical Architect - Data Platform

Promoted

Jan 2021 – Dec 2022 · 1 yr 11 mos · Noida, Uttar Pradesh, India · On-site

Envisioned and architected high level Unified Feature Store for entire org replacing need of siloed data and modeling pipelines. Realizing potential savings of 25k/month
Lead various cost saving initiatives for data platform which helped in saving 165k/month including data lifecycle, tech optimizations of Cloud usage, architectural improvements of various services
Designed high-level and low-level workflow of in house data quality, data discovery solutions namely Metis and Data Catalog respectively
Implemented Metis (Data Quality) and Data Catalog (Data Discovery) framework in a team of 20
Open-sourced data quality framework dq-whistler with features like custom validation checks, data profiling, and Kaggle like a visual representation of basic data metrics
Collaborated with other business units to onboard their use cases on Data Platform. This helped in reducing the siloed infrastructure and enabled a better platform standardization
Designed & Implemented Customer360 & Merchant360 API with the help of a team of 5. API is now serving 15k RPS and 6 business units internally, acting as a single source of all user & merchant(seller) features
Written various guidelines documents on Confluence for Github, Databases sharing, API naming conventions, Monitoring & Alerting, Application Logging, and many other technical practices

Data QualityData DiscoveryAPI DevelopmentCost OptimizationData Engineering

Lead Data Engineer

Sep 2019 – Dec 2020 · 1 yr 3 mos · Noida, Uttar Pradesh, India · On-site

Designed & Implemented personalization services like Segmentation, User journey platforms in a team of 6, serving 500 million notifications every month to 30 million MAU. This replaced MoEngage with an inhouse framework resulting in cost savings of $400k annually
Designed & Implemented a streaming framework for capturing app (android/ios), web platform events, and writing into DWH. This framework includes an API, to capture & publish events to the messaging queue and a streaming pipeline responsible for reading and writing the elements to DWH. The API is
serving 45-50k RPS during flash sales and the streaming pipeline is processing ~3.5TB of data and ~3B events on a daily level
Implemented a batch framework for data pipelines, Nexus. It supports fully customizable pipelines with custom transformations. The sources and destinations can be picked from either Bigquery, Bigtable, Raw files, Relational databases, Cloud Storage (S3, Google Bucket). Any source can be paired with any destination

Personalization ServicesStreaming FrameworkData PipelinesData Engineering

Airtel digital

Lead Data Engineer

May 2018 – Sep 2019 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

Implemented a complaint management event processing system (Apache Spark Streaming) responsible for capturing customer complaints as events and forwarding them to respective departments on the basis of the decision tree. This reduced the overall turnaround time from 7 days to 2 days.
Implemented batch Spark jobs to process 200TB of daily CDR (Call Data Records) data
Implemented an API (Django) to visualize the network towers location data for a better understanding of regions having weak signal strength and can be a potential for improvement
Coordinated a team of 12 data engineers

Event ProcessingBatch ProcessingAPI DevelopmentData Engineering

Innovaccer

2 roles

Senior Data Engineer/Engineering Manager

Promoted

Jan 2017 – May 2018 · 1 yr 4 mos · Noida, Uttar Pradesh, India · On-site

Coordinated a team of 8 Software Engineers to lead the Customer Success division of the organization. Handling 4 clients in parallel and ensuring the tech data support for those clients.
Managed onsite (USA) data operations for 2 clients. Spent 8 months at the different client locations (USA) in understanding the nature of patient-centric business. It was an attempt to better understand the data manageability, discovery, quality, and observability practices adopted by clients and potential upsell opportunities (for inhouse data ETL products)

Client ManagementData OperationsData Engineering

Data Engineer

Apr 2015 – Dec 2016 · 1 yr 8 mos · Noida, Uttar Pradesh, India · On-site

Developed a dashboard using Python to showcase trading data for one of our clients
Developed an initial prototype of data quality framework in Spark Scala
Worked closely with our client to set up their search engine Infrastructure using ELK stack

Dashboard DevelopmentData Quality FrameworkData Engineering

Mu sigma inc.

Data Engineer

Jun 2013 – Apr 2015 · 1 yr 10 mos · Bengaluru, Karnataka, India · On-site

Developed Rstash package for the R language. This package replaced the Rgithub package in the
Rcloud platform (An AT&T platform built on top of the R language)
Developed the search engine using Apache Solr for the Rcloud platform
Contributed to rediscc an R package and actively collaborated with Simon Urbanek, one of the maintainers of the R language for macOS
Organized hands-on sessions on R language for other teams

R ProgrammingSearch Engine DevelopmentData Engineering