Devender Goyal

Software Engineer

Bengaluru, Karnataka, India11 yrs 10 mos experience

Highly Stable

Key Highlights

Expert in building Java-based Microservices backends.
Proven track record in real-time data processing.
Strong leadership in developing advertising solutions.

Stackforce AI infers this person is a Backend-focused Engineer in AdTech and Data Engineering.

Contact

goyaldevender@gmail.com +919650030243 LinkedIn

Skills

Core Skills

MicroservicesJavaMachine LearningData EngineeringStreaming Data ProcessingAdvertising Solutions

Other Skills

AWSAgile MethodologiesAlgorithmsApache SparkApache Spark StreamingComputer ScienceCore JavaData StructuresHTMLHadoopHibernateJavaScriptKinesisMavenOAuth2.0

About

Experienced Technical Lead Engineer with a proven track record of building and managing Java based Microservices backends, real-time streaming data pipelines, and schema evolution using various tools and technologies. My expertise lies in Microservices architecture, Java, Spring Boot, AWS cloud, data engineering having worked across multiple industries. Currently, I am working in Walmart.

Experience

Walmart global tech india

SDE 4

May 2023 – Present · 2 yrs 10 mos · Bengaluru, Karnataka, India · On-site

𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 & 𝐒𝐩𝐫𝐢𝐧𝐠 𝐁𝐨𝐨𝐭 - Walmart Audience Manager (Ads Targeting)
Designed and developed microservices using Spring Boot, powering real-time non-endemic event ingestion processing 2M+ daily events for personalized ad targeting
Integrated Spring AI into production systems to enable prompt-driven model execution, reducing onboarding time for new Advertisers by 20% and supporting early-stage generative AI experimentation.
Ensured robust observability with standardized logging, tracing, and alerting across distributed services
Delivered and maintained RESTful APIs for core audience-targeting capabilities, with p99 latencies under 200ms and SLA adherence of 99.9%
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 – Walmart Audience Builder (Ads Targeting)
Designed and deployed a modular ML pipeline architecture as part of Walmart’s Audience Builder platform to support per-category model training.
Targeting strategies included:
In-Market Targeting – Identified ~42M Walmart shoppers actively browsing or purchasing in 18+ high-intent product categories (e.g., electronics, groceries, baby care), boosting ROAS by 21%
Brand Affinity Targeting – Clustered ~28M users demonstrating brand loyalty across 300+ brands, increasing brand campaign CTR by 15.2%
Modeled purchase likelihood with AUC scores of 0.76–0.83, driving 9–14% lift in advertiser conversions
Addressed cold-start challenges by leveraging ~2M new-user profiles via cohort-level features (location, device type, referral source). Mapped 4,500+ emerging brands to well-known counterparts using product metadata (category, price, brand popularity) to transfer affinity signals effectively.
Built full-stack ML infrastructure:
Standardized feature engineering across 20TB+ of raw event data.
Trained models using logistic regression, random forest, ALS and XGboost
Productionized A/B evaluation (F1 score, AUC, lift), and batch scoring for 250M+ active users weekly

JavaSpring BootMicroservicesRESTful APIsMachine LearningAWS

Rakuten

3 roles

Lead / Senior Engineer at Rakuten Viki, www.viki.com @ Singapore

Apr 2022 – May 2023 · 1 yr 1 mo · On-site

Engaged with the video streaming platform, www.viki.com, catering to over 67 million users.
Designed the architecture that processes over 15,000 real-time events per second, around 3 TB of data each day using Kinesis and Spark Streaming.
Implemented Lambda Architecture that spans across AWS and GCP, to enable processing of batch and streaming workloads.
Performed data modeling for relational databases and data warehouses, utilizing techniques such as Normalization, Star schema, Snowflake schema, and Denormalization techniques.
Developed APIs and scripting solutions in Java, Python, Scala, and Spark

KinesisSpark StreamingJavaPythonScalaData Engineering+1

Technical Lead at Rakuten, www.rakuten.co.jp

Promoted

Jun 2021 – Mar 2022 · 9 mos · On-site

Build an advertising solution for Rakuten, Japan's largest E-commerce company.
Led a team of 8 members from diverse backgrounds to build an advertising solution for Rakuten, Japan’s Largest e-commerce company.
Performed fraud detection on data generated by click bots and managed various conversion types such as RAN conversion, brand conversion, and shop conversion, and mapped them with clicks.
Implemented Auth2.0 using a token generator, access token, refresh token, etc. Integrated with other systems in the Rakuten ecosystem. Later Generating Reports for billing customers.
Developed and Optimized Spring Batch development using multithreaded and parallel steps to write per minute, hourly (monitoring), and daily jobs.
Won: 3 Excellence Awards and 2 Team Awards

Spring BootOAuth2.0JavaAdvertising Solutions

Senior Software Engineer at Rakuten, www.rakuten.co.jp

Sep 2019 – May 2021 · 1 yr 8 mos · On-site

Working in Sales Expansion Advertising solutions.

Bt

Senior Consultant

Mar 2017 – Sep 2019 · 2 yrs 6 mos · Bangalore, karnataka · On-site

As a Technical Lead, my responsibilities included leading the team and designing and coding technical solutions for various projects. Notable achievements include:
Developed an in-house solution for Collating Engineer's location, using Java 8, Spring Boot, and Hibernate. This resulted in significant cost savings by eliminating the need for renewing a third-party software license.
Implemented microservices architecture using Spring Boot, Spring Cloud Config, and Netflix OSS components (Eureka for service discovery, Zuul for API gateway, and Hystrix for circuit breaker) for a large-scale project.
Implemented an application-wide retry mechanism using Spring Retry, improving the application's resilience and fault tolerance.

JavaSpring BootMicroservices

Sap

Associate Developer

Jun 2013 – Jun 2016 · 3 yrs · Gurgaon, India · On-site

Discounting System for Target Corporation, USA
Developed a discounting system for Target that enabled the company to offer various types of discounts to its customers.
Oil and Gas implementation for Royal Dutch Shell & ConocoPhillips, Canada
Led a team of 5 members through a 12-month design-to-production cycle of SAP PRA Solution.
Designed and modeled the real-world client system by creating entities such as Well, Battery, Gas Plants, Delivery Networks, and Measurement Points using an object-oriented programming (OOPs) model.