Fattesingh Rane profile photo 2 on Tal
Fattesingh Rane profile photo 1 on Tal
Fattesingh Rane profile photo 2 on Tal
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Fattesingh Rane

Senior Software Engineer @ Victoria’s Secret & Co. | Java, Spring, Spring Boot, Golang, Kafka, Kubernetes, gRPC, Microservices, AI

North Goa

6+ years of work experience

Victoria’s Secret & Co.
Oct 20233 yrs 1 moPresent

Bengaluru, Karnataka, India

● Led the personalization domain development team of 4 members and architected and designing and development of marketing and personalization applications. ● Drove cross functional collaboration with Engineering, Product and stakeholders to define the product strategy through product and requirement discussions ● Elevated engineering quality by leading rigorous code reviews and reinforcing best practices such as clean architecture, modular, scalable system design, code readability, maintainability, observability and effective error handling strategies. ● Strengthened quality assurance practices by driving the adoption of unit and integration testing, and acceptance testing in CI/CD pipelines along with TDD methodology. ● Guided junior engineers through one-on-one mentoring, pair programming, and brainstorming sessions to accelerate learning and team integration. ● Led and supported recruitment efforts by conducting technical interviews and influencing hiring decisions to build a strong and scalable engineering team. ● Implemented the integration testing framework and led the adoption of the framework across organization to improve the reliability of services. ● Scaled the product recommendation platform up to 10M+ users by reducing platform latency by 70%. ● Notification microservice: Developed notification microservice to send operational updates to customer via email and push notification ● Scheduler microservice: Designed and built a schedular microservice to send scheduled notification to user ● Order Tracking microservice: Developed a tracking microservice to track shipment of the user over through Narvar.
GoTo Group
Jul 20221 yr 3 mosSep 2023

Bengaluru, Karnataka, India

● Worked as part of a 3-member Journeys engineering team on Project Mercury, a large-scale marketing campaign platform processing 1B+ events per day, 300B+ events and 2B+ messages per month, and reaching 130M devices. ● Implemented the defined architecture for the Journey Service, responsible for managing the lifecycle and state of marketing journeys, including journey CRUD operations and active/inactive state transitions. ● Developed and maintained Journey Service APIs and integrated them with platform microservices including Segmentation and Timer services to support end-to-end journey execution. ● Implemented webhook-based integration with the Segmentation Service and Kafka-based event consumption for processing Timer Service payloads. ● Worked on high-volume Google Cloud Dataflow pipelines using Apache Beam as the streaming engine, processing clickstream and journey events at platform scale. ● Contributed to a distributed pipeline architecture comprising 35 event-filtering jobs, a Journey Processor, and a Delay Processor, with workloads auto scaled based on event throughput. ● Enhanced the Journey Pipeline Runner, a Go-based CLI using Cobra, reducing Dataflow deployment time from 3 hours to 30 minutes through deployment workflow improvements. ● Implemented production monitoring and alerting for Journey Service and data pipelines using Prometheus, Grafana, Telegraf, Cortex, StatsD, and Siren, improving observability and operational readiness. ● Managed Google Cloud infrastructure using Terraform, including auto scaled Cloud Bigtable clusters and replicated Redis infrastructure. ● Integrated Journey Service with Google Big Query for centralized log migration and analysis. ● Deployed services on Kubernetes and enhanced Helm charts to support additional deployment configurations, including Node Port. ● Applied Test-Driven Development (TDD) practices and maintained approximately 85% code coverage, improving regression protection and code quality.
Open Destinations
Jan 20201 yr 5 mosMay 2021

Remote

Open Destinations
Jul 20196 mosDec 2019

On-site

Persistent Systems
Sep 20182 mosOct 2018

Goa, India

Fattesingh’s AI Stack

claude code
claude code
gemini
gemini
github copilot
github copilot
n8n
n8n
openai
openai

Education

Goa University

Bachelor of Technology, Computer Science and Engineering

Goa University

20154 yrs2019

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Headline

Senior Software Engineer @ Victoria’s Secret & Co. | Java, Spring, Spring Boot, Golang, Kafka, Kubernetes, gRPC, Microservices, AI

About

Senior Software Engineer with 6+ years of experience building high-scale backend systems for web and mobile platforms. Specialized in Golang (4+ years) and Java backend development, with strong expertise in designing distributed microservices architectures using REST and gRPC. Experienced in building and operating cloud-native systems using Docker and Kubernetes, focusing on scalability, reliability, and production deployments. Worked with PostgreSQL for relational data modeling and Google Bigtable for large-scale NoSQL workloads, optimizing for performance and scalability in distributed systems. Currently exploring AI-driven systems and agent-based architectures by building small SaaS products to deepen applied experience in modern AI infrastructure.

Location

North Goa

AI stack

claude code

gemini

github copilot

n8n

openai

Work experience

Senior Software Engineer at Victoria’s Secret & Co., Oct 2023 - Present · 3 yrs 1 mo, Bengaluru, Karnataka, India, ● Led the personalization domain development team of 4 members and architected and designing and development of marketing and personalization applications. ● Drove cross functional collaboration with Engineering, Product and stakeholders to define the product strategy through product and requirement discussions ● Elevated engineering quality by leading rigorous code reviews and reinforcing best practices such as clean architecture, modular, scalable system design, code readability, maintainability, observability and effective error handling strategies. ● Strengthened quality assurance practices by driving the adoption of unit and integration testing, and acceptance testing in CI/CD pipelines along with TDD methodology. ● Guided junior engineers through one-on-one mentoring, pair programming, and brainstorming sessions to accelerate learning and team integration. ● Led and supported recruitment efforts by conducting technical interviews and influencing hiring decisions to build a strong and scalable engineering team. ● Implemented the integration testing framework and led the adoption of the framework across organization to improve the reliability of services. ● Scaled the product recommendation platform up to 10M+ users by reducing platform latency by 70%. ● Notification microservice: Developed notification microservice to send operational updates to customer via email and push notification ● Scheduler microservice: Designed and built a schedular microservice to send scheduled notification to user ● Order Tracking microservice: Developed a tracking microservice to track shipment of the user over through Narvar.

Software Engineer at GoTo Group, Jul 2022 - Sep 2023 · 1 yr 3 mos, Bengaluru, Karnataka, India, ● Worked as part of a 3-member Journeys engineering team on Project Mercury, a large-scale marketing campaign platform processing 1B+ events per day, 300B+ events and 2B+ messages per month, and reaching 130M devices. ● Implemented the defined architecture for the Journey Service, responsible for managing the lifecycle and state of marketing journeys, including journey CRUD operations and active/inactive state transitions. ● Developed and maintained Journey Service APIs and integrated them with platform microservices including Segmentation and Timer services to support end-to-end journey execution. ● Implemented webhook-based integration with the Segmentation Service and Kafka-based event consumption for processing Timer Service payloads. ● Worked on high-volume Google Cloud Dataflow pipelines using Apache Beam as the streaming engine, processing clickstream and journey events at platform scale. ● Contributed to a distributed pipeline architecture comprising 35 event-filtering jobs, a Journey Processor, and a Delay Processor, with workloads auto scaled based on event throughput. ● Enhanced the Journey Pipeline Runner, a Go-based CLI using Cobra, reducing Dataflow deployment time from 3 hours to 30 minutes through deployment workflow improvements. ● Implemented production monitoring and alerting for Journey Service and data pipelines using Prometheus, Grafana, Telegraf, Cortex, StatsD, and Siren, improving observability and operational readiness. ● Managed Google Cloud infrastructure using Terraform, including auto scaled Cloud Bigtable clusters and replicated Redis infrastructure. ● Integrated Journey Service with Google Big Query for centralized log migration and analysis. ● Deployed services on Kubernetes and enhanced Helm charts to support additional deployment configurations, including Node Port. ● Applied Test-Driven Development (TDD) practices and maintained approximately 85% code coverage, improving regression protection and code quality.

Software Developer at Open Destinations, Jan 2020 - May 2021 · 1 yr 5 mos, Remote

Software Developer at Open Destinations, Jul 2019 - Dec 2019 · 6 mos, On-site

Student Intern at Persistent Systems, Sep 2018 - Oct 2018 · 2 mos, Goa, India

Education

Bachelor of Technology, Computer Science and Engineering, Goa University

Public links

github: https://github.com/ranefattesingh

medium: https://medium.com/@ranefattesingh

leetcode: https://leetcode.com/ranefattesingh

ranefattesingh.github.io: https://ranefattesingh.github.io/