--- title: "Ranjith Kumar U - Principal Member Technical Staff in Bangalore Urban | Tal" description: "Meet Ranjith Kumar U, Principal Member Technical Staff | Data Platforms | Distributed Systems | Real-time Analytics | based in Bangalore Urban. AI stack includes claude code, cursor, and github copilot." image: "https://tal.club/meet/ranjith-kumar-u/share-image" --- # Ranjith Kumar U on Tal ## Headline Principal Member Technical Staff \| Data Platforms \| Distributed Systems \| Real\-time Analytics \| ## About Built and scaled data products, distributed systems, and data platforms handling large\-scale data processing workloads across logistics, e\-commerce, fintech, ad\-tech, and retail domains, enabling analytics, machine learning, and business\-critical decision\-making\. Have been a part of building Business Intelligence products,accounting and ads platforms using various Big Data Technologies, distributed systems etc\. I believe in data driven insights\. I have strong analytical and problem solving skills to build efficient IT solutions\. Hands on experience in various Big Data Technologies: Spark \(Scala & Python\), Spark SQL, Spark Streaming, Hadoop, HBase, Redis, Elastic Search, ClickHouse, Hive, HDFS, Kudu, Impala, Phoenix, Oozie, Airflow, Azkaban, Kafka, Aerospike, Druid, Iceberg, Apache Pinot Programming Languages: Core Java, Python, Scala Additional Skills: Clustering Techniques, NLP, Pandas Databases: MongoDB, MySQL DevOps Tools: Kubernetes, Jenkins, JIRA, Git, SVN, Confluence Cloud Platform: Google Cloud Platform \(GCP\) Always enthusiastic to learn new technologies and exploit them to its optimum to solve complex industry problems\. ## Location Bangalore Urban ## AI stack claude code cursor github copilot kiro Amazon Q Developer ## Work experience Principal Member Technical Staff at Nielsen, Jul 2026 \- Present · 2 mos, Bengaluru, Architecting and building Streaming Plus Platform \(S\+\) — an extensible behavioral intelligence platform that transforms viewing, engagement, and purchasing signals across OTT, CTV,social etc into a reusable data foundation, enabling multiple verticals to build audience, engagement and commerce use cases on a common foundation\. Senior Data Engineer \(CTO Office\) at H&M Group, Jul 2025 \- Jul 2026 · 1 yr 1 mo, Bengaluru, Led the design and development of the Data Service Layer for OmniEye App \(store intelligence digital twin\) in Emerging Technologies Org — a scalable, data\-intensive application that powers near realtime business intelligence through advanced KPIs \(including ML\-based metrics\) and recommendation system across Sales, Operations, and other domains\. Integrating data from diverse sources including SAP, IoT devices, customer counters, RFID readers, and application events to create a unified data foundation for store intelligence\. Have setup POC using terraform for an Infrastructure as Code \(IaC\) ,GCP ecosystem for data storage and orchestration\. Github actions for CI/CD\. Led architectural discussions with the Data Platform team to define data integration patterns, data flow, and governance strategies, while also evaluating and refining the proposed Apache Pinot–based architecture by debugging and optimizing batch minion jobs to improve reliability, scalability, and query performance\. Leading a 5 member data team to design and implement a real\-time OLAP analytics platform leveraging Apache Pinot and Kafka for low\-latency data insights\. Launched application for all store managers in CA region with role based access control\(RBAC\) and designed to scale for all hierarchies till CXO’s\. Partnered with Data Science to operationalize ML models for forecasting, optimization, and personalization\. Active contributor to open\-source discussions and proposals \(example: contributing an issue to the Apache Pinot project proposing OFFLINE UPSERT behavior\), indicating engagement with community and platform\-level data tooling\. https://github\.com/apache/pinot/issues/17535 Data Engineer II at Flipkart, May 2024 \- Jun 2025 · 1 yr 2 mos, Bengaluru, Worked with Flipkart Ad\-Tech M3 Data Platform team which is building the next generation of platform capabilities and userpath flows which are targeted for a $1B\+ bottom line number\. Building large scale distributed systems, computing & processing petabytes of data and serving personalized ads using real\-time ML models at scale both within and outside flipkart, giving detailed insights to advertisers\. Developed Data Completeness API \(querying clickhouse tables\) for greater accuracy in budget redeem from seller wallet by bringing visibility of data processed time of multiple pipelines using existing inhouse framework\. Worked on Apache Druid and Map Reduce Jobs for data availability\. Worked on tuning realtime data pipelines for load test, NFR failures etc \(kafka,spark streaming & ES\) Designed and implemented an end\-to\-end data pipeline using Spark that ingests \~120M records every day in 30 mins by processing \~440M records \(\~10 TB\) of Avro files daily to a third\-party experimentation platform, Statsig \(acquired by OpenAI\), for A/B testing and key ads metrics tracking for product and analytics teams across Flipkart\. Optimized the integration architecture to reduce Statsig platform costs by 10×\. Explored Apache Flink for real\-time stateful data pipeline setups, focusing on stream processing fundamentals, event\-time handling, windowing strategies, checkpointing, and scalable distributed computation for low\-latency data systems\. Data Engineer I at Flipkart, Sep 2021 \- Apr 2024 · 2 yrs 8 mos, Bangalore Urban, Worked in Billing and Monetization team on Accounting Data Platform \(PaaS\) which is responsible for delivering financial reports with assured data correctness and completeness\. Worked on month end closure that the stakeholders strive to bring the financial data \(supply chain,tax,logistics etc\) that falls in the purview of Accounting\. Explicitly worked on IPE \(Information Produced by the Entity\) reports , validations and testing procedures reports as a part Audit procedure for SOX \(Sarbanes\-Oxley Act\) compliance \(prerequisites for IPO\) Worked closely with Product Managers, Finance Stakeholders, Chartered Accountants etc to develop various supply chain finance reports\. Partnering as mid ware between various upstream data source teams and finance stakeholders for reports gaps, data ingestion gaps etc Developing data pipelines for various report requirements across various BUs of Flipkart\. Streamlining and improving existing data pipelines for scalability\. Handling 10x \- 100x TBs of data\. Proposed and developed new generic configurable desgin for generic buyer fee for accounting data pipelines for various Flipkart GMV increase initiatives like sale fee,cash handling fee etc with proper IT compliance which came down to days in onboarding new fees from 2 months Used Scala Futures \(asynchronous programming\) alongside Spark to introduce concurrency at the driver level for non\-blocking operations as part of Turbo project which is used for delivering Month End reports to sellers\. Developed Data Health Score for various financial reports based on its validations output\. Developed key POCs for data products using various big data technologies\. Contributed in developing workflow engine to create processes using JSON for not tech users to reduce onboarding friction and integrated output data to metabase using its APIs for visualisation\. Solved various bugs in existing system for better accuracy, speed and stability\. Software Engineer at Saama, Apr 2021 \- Aug 2021 · 5 mos, India, Redesigned and migrated existing Oozie HQL based workflows to spark framework for better and optimised performance also able to reduce workflows duration \(1/5th\) drastically for india's one of the largest premier logistics and courier service companies\. Enhacements to existing code to avoid repeatative issues and added various features for better support and maintenance of existing pipeline\. Developed various Bussiness KPI's with through understanding of domain which not merely a report but actionable and strategic insights to ease Bussiness decisions\. Worked extensively with Apache Hbase, kudu database in Hadoop ecosystem as part of optimization of existing data pipeline to bring fast analytics on fast data\. Associate Software Engineer at Saama, Jun 2019 \- Mar 2021 · 1 yr 10 mos, Pune, Maharashtra, India, Bringing meaningful insights and development of KPI's for various dashboards from raw data both batch processing and near real time analytics Extensively worked on Spark with Scala, Spark SQL , MySql,Hbase,Hive, Kudu , phoenix , Elastic Search and HDFS\. Hands on experience in BigData technologies like Hadoop, Spark,Oozie and Kafka\. Hands on experience in elastic search and ES Java API's\. Corporate Affairs And Sponsorship Head at Culfest\-Annual Cultural Fest of NIT Jamshedpur, Nov 2017 \- Apr 2019 · 1 yr 6 mos, Jamshedpur Area, India, Core Team Member for Culfest'19 1\.Responsible to build CULFEST brand among corporates ,MNC's etc and vice versa\. 2\.Raised and carried out end to end operations of 1\.5 million worth sponsorship as SPOC 3\.Managed corporate affairs team of 25\+ people\. 4\. Gained good experience in documentation, presentation, MoU's formulation,Invoicing etc\. 5\.Responsible to deliver all deliverables as per MoU's\. 6\.Raised highest\(5x\) ever sponsorship in the history of CULFEST\. 7\.Carried out products and brands promotions through various\- promotional events, branding activities and social media marketing campaigns\. " It's a great opportunity to push my limits and always strived selflessly to build our organisation brand\- helped to build great entrepreneurship and marketing mindset" ## Education Bachelor of Technology \(Hons\), Civil Engineering, National Institute of Technology Jamshedpur Intermediate, Maths Physics Chemistry, Narayana Junior College Kurnool, Andhra Pradesh [View the original profile](https://tal.club/meet/ranjith-kumar-u) ```json { "@context": "https://schema.org", "@graph": [ { "@type": "Person", "@id": "https://tal.club/meet/ranjith-kumar-u#person", "name": "Ranjith Kumar U", "url": "https://tal.club/meet/ranjith-kumar-u", "image": "https://tal.club/meet/ranjith-kumar-u/profile-photo.jpg", "description": "Meet Ranjith Kumar U, Principal Member Technical Staff | Data Platforms | Distributed Systems | Real-time Analytics | based in Bangalore Urban. 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