Rocky Bhatia

Software Engineer

Noida, Uttar Pradesh, India16 yrs 4 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • Over 16 years of experience in technology leadership.
  • Architected AI-powered solutions impacting millions globally.
  • Recipient of 30+ professional awards for innovation.
Stackforce AI infers this person is a SaaS and MarTech expert with a focus on AI-driven solutions and data engineering.

Contact

Skills

Core Skills

Solution ArchitectureCloud SolutionsGenerative AiData EngineeringDistributed SystemsTechnical ArchitectureBig Data Analytics

Other Skills

AI-powered solutionsAgile MethodologiesAlgorithmsAmazon Web Services (AWS)Apache KafkaApache PigAutomationAzure architectureBatch processingBig DataCC++Caching strategiesClearCaseCloud migration

About

All views expressed here are solely my own and do not represent those of my employer. My focus is on sharing publicly available knowledge, frameworks, and industry trends that can help developers, architects, and the AI community learn, grow, and innovate. Connect with him at rocky.bhatia86@gmail.com for speaking engagements or collaborations. Rocky Bhatia is a results-driven technology leader with over 16 years of experience designing, scaling, and leading enterprise-grade solutions. Currently serving as an Architect at Adobe, he spearheads innovation in Marketing and Customer Insights, driving cross-functional teams to deliver distributed, data-driven, and AI-powered platforms that impact millions globally. Recognized for his ability to merge technical depth with strategic vision, Rocky is trusted to lead initiatives in Generative AI, Big Data Analytics, Cloud Solutions, and Advanced System Design. His leadership extends beyond architecture into mentorship and talent development, shaping the next generation of tech leaders. 🏆 Highlights & Expertise Architectural Excellence: Distributed systems, microservices, large-scale data platforms, and next-gen cloud solutions. Generative AI & Data Engineering: Designing AI-driven products and intelligent automation frameworks. Leadership Impact: Leading global teams, fostering collaboration across geographies, and driving enterprise adoption of emerging technologies. Recognition: Recipient of 30+ professional awards, with advanced courses from IIT Delhi, IIT Bombay, and IIT Chicago, along with multiple professional certifications. Thought Leadership: Co-author of international research on ML-based resume recommendation, with insights presented at global conferences. Global Reach: Followed by a trusted community of 400K+ professionals across 140+ countries, with technical content reaching over 1M+ monthly views. International Speaker & Mentor: Frequently invited to share expertise at global stages, advancing the developer and AI ecosystem. 🌐 Areas of Expertise Distributed Architecture & System Design Cloud Solutions & Data Platforms Generative AI Big Data Analytics & Advanced Insights API & Microservices Ecosystems Product Development & Innovation Leading Large Global Teams At his core, Rocky believes that technology is not only about solving today’s problems but about anticipating the future and creating systems that endure change. His mission is to empower developers, architects, and enterprises worldwide with the knowledge, tools, and frameworks needed to thrive in an AI-first world.

Experience

16 yrs 4 mos
Total Experience
2 yrs 10 mos
Average Tenure
5 yrs 9 mos
Current Experience

Adobe

4 roles

Software Architect

Promoted

Aug 2022Present · 3 yrs 10 mos · Noida, Uttar Pradesh, India

  • With a strong foundation in solution architecture, I am adept at addressing challenges head-on—whether it's mentoring teams, conducting meticulous code reviews, or ensuring alignment with strategic business goals. My ability to switch contexts swiftly and deliver results has earned recognition for operational excellence and driving innovation.
  • Key Achievements
  • Generated significant ARR through innovative architecture designs and strategic tech partnerships.
  • Saved millions in cloud expenses by optimizing resource utilization and enhancing operational efficiency.
  • Architected AI-powered solutions, including:
  • Chat applications that elevated user engagement and transformed customer experience.
  • Data Care Ops, a no-code/low-code GenAI-equipped framework empowering Data Stewards with streamlined data operations and seamless customer journeys.
  • Event Ingestion Framework processing 50+ billion events for 1,600+ users, ensuring unparalleled scalability.
  • Code Review System seamlessly integrated with Git and GitHub Actions, driving automation and reducing review cycles.
  • Agent-based systems automating GOC workflows, boosting productivity across operations.
  • Spearheaded a cloud migration involving 1,000+ assets and 100+ pipelines, resulting in a 30% cost reduction and 5x scalability.
  • Leadership and Empowerment
  • Fostered a culture of continuous improvement by setting quarterly targets, empowering teams, and mentoring future leaders, earning the Team Builder Award.
  • Delivered impactful knowledge-sharing sessions to upskill teams and align them with emerging trends and technologies.
  • Cross-Functional Excellence
  • Led cross-functional initiatives, ensuring seamless communication and delivery of high-impact solutions.
  • Drove strategic data collection efforts for campaign success metrics, enabling a holistic approach to achieving business outcomes.
  • My goal is to inspire teams, elevate systems, and deliver innovation that drives long-term success.
Solution ArchitectureAI-powered solutionsCloud migrationCross-functional leadershipData-driven platformsCloud Solutions

Computer Scientist 2

Jun 2020May 2022 · 1 yr 11 mos · Noida, Uttar Pradesh, India · On-site

  • Designed and architected end-to-end event-based ingestion framework utilising distributed cloud processing and cutting-edge technologies.Processes ~50 billion events and ~50 TB data daily, supporting 1000+ assets for 1600+ users.
  • Unified Customer Profile: Architected a comprehensive customer profile for targeted campaigns, delivering accurate and timely information throughout the journey. Optimised data flow on Azure for a holistic view.
  • Real-time Personalization: Designed and built a multi-threaded microservices system for real-time event processing, transforming data
  • Scalable Data Management: Managed millions of daily events, developed effective storage strategies for diverse systems, and established end-to-end architecture for batch processing in Azure
  • MPS: Involved in designing and building the Central System of Truth for marketing communication permissions, handling high-volume data with flexibility and scalability.
  • Additional Highlights:
  • Reduced latency in the Experience Cloud with a unified customer profile.
  • Developed single point of integration for data delivery to multiple customers.
  • Implemented configuration-based architecture for batch transformation.
  • Integrated gateway using IMS service for secure access and authorization.
  • Designed caching strategies for token management and robust monitoring.
Event-based ingestion frameworkReal-time personalizationData flow optimizationAzure architectureData EngineeringCloud Solutions

Computer Scientist

Promoted

Feb 2018Jun 2020 · 2 yrs 4 mos · Noida, Uttar Pradesh, India · On-site

  • Rules Engine Service : The microservice based rules services operates by streaming data from a source and processing events in real-time and update the user profile status based on the current and previous states. The process incorporates deduplication ,applies data derivation rules to determine profile attributes, records user state changes, updates the in-memory user profile
  • Roles & Responsibilities:
  • Contributed to the design of the rules service.
  • Implemented reading and writing operations from Kafka, ensuring smooth data flow.
  • Developed a module for manual Kafka offset management and a custom partitioner
  • Implemented a module responsible for writing persisting profile attributes
  • Designed caching strategies to enhance system efficiency.
  • Batch Egress empowers users to perform the last-mile data wrangling through SQL, enabling the export of data with multiple configurable options to the system of their choice. This functionality can be executed as a one-time action or scheduled as a batch job, ensuring flexibility and convenience.
  • Roles & Responsibilities include:
  • Designing end-to-end architecture
  • Developing code for the auto-generation of workflows
  • Creating code for automated deployment
  • Designing and implementing multiple connectors, such as those for S3, SFTP, and AEP.
  • CAH serves as the central repository for all customer-related activities, encompassing both individual and team customers. It aggregates crucial data, including application usage metrics and entitlements.
  • Roles & Responsibilities:
  • Developed a module for reading incremental data from source and write it to destination
  • Managed the challenge of processing millions of updates on a daily basis, ensuring system scalability and performance.
  • Created an Audit framework to facilitate quality checks, ensuring the reliability and accuracy of the data.
Rules Engine ServiceKafka integrationData processingCaching strategiesDistributed SystemsData Engineering

Senior Member of Technical Staff

Aug 2016Jan 2018 · 1 yr 5 mos · Noida, Uttar Pradesh, India · On-site

Adobe toastmaster club

President

Jul 2019Dec 2019 · 5 mos

Adobe toastmasters

Vice President Public Relations Adobe ToastMaster Club

Jul 2018Dec 2018 · 5 mos · Noida Area, India

Impetus

Senior Software Engineer

Jul 2014Aug 2016 · 2 yrs 1 mo · Noida Area, India

Aricent technologies holding private limited

Senior Software Engineer

Jun 2009Mar 2014 · 4 yrs 9 mos

Education

Illinois Institute of Technology

PGP in Machine Learning

Jan 2018Jan 2019

Indian Institute of Technology, Delhi

Data Science and Decision Science Consulting

Jan 2018Jan 2018

Thapar Institute of Engineering & Technology

MCA — Computer

Jan 2006Jan 2009

Panjab University

Bsc (Hons) maths — Maths

Jan 2003Jan 2006

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