Vivek Rathod

Director of Engineering

Bengaluru, Karnataka, India18 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 18+ years in data-driven solutions for retail and e-commerce.
  • Expert in building and leading high-performing engineering teams.
  • Specialized in enterprise Data Lakehouse and AI-driven transformation.
Stackforce AI infers this person is a Data and AI leader in the Retail and E-commerce industry.

Contact

Skills

Core Skills

Data EngineeringAi EngineeringBusiness Analytics

Other Skills

AI AgentsAI SolutionsAnalytics EngineeringAutomationBI EngineeringBig DataBusiness Intelligence (BI)Business StrategyData GovernanceData LakehouseData ManagementData VisualizationDistributed SystemsGoogle Cloud Platform (GCP)Hadoop

About

Data and AI leader with 18+ years of experience delivering impactful, data-driven solutions for retail and e-commerce. Adept at building, scaling & leading high performing engineering teams, driving innovation and achieving business outcomes across various business functions like customer engagement, ads & marketing, cross-use, pricing & promotions, and supply chain. Specialized in designing, building, and leading the continuous evolution of enterprise Data Lakehouse, ensuring robust data quality, governance, and accessibility to empower the organization's AI-driven transformation. Currently, leading a diverse team of engineering professionals at Rakuten India, managing Rakuten's Data Lakehouse and building solutions to enhance Data Utilization for business decisions. Key responsibility areas: - Data Engineering: Leading the continuous evolution of Rakuten's Data Lakehouse, a foundational source for data-driven decision-making. This supports strategic initiatives across retail, fintech, telecom, and other business verticals, with a focus on enabling AI solutions. - Data & AI Products: Developing data products (e.g. Customer 360, Cross-Use mart, Comp-pricing, etc) and AI-first applications to empower key business functions, including marketing, cross-use, pricing, points (loyalty program) etc. - AI Agents: Building an AI agent ecosystem for enhanced data management, that encompasses monitoring/alerting, anomaly detection & resolution, routine operations, incident management, access governance etc.

Experience

Rakuten india

3 roles

Director, Data Engineering

Promoted

Apr 2023Present · 2 yrs 11 mos

Data EngineeringData LakehouseAI SolutionsAI Engineering

Associate Director, Business Analytics

Promoted

Jan 2022Apr 2023 · 1 yr 3 mos

Senior Manager, Business Analytics

Jun 2020Dec 2021 · 1 yr 6 mos

Landmark group

3 roles

Deputy General Manager - Analytics

Promoted

Apr 2018Jun 2020 · 2 yrs 2 mos

  • Led Data Engineering and Platform Engineering teams of the in-house analytics division Data Labs @Landmark Group

Consultant Data Engineer - Analytics

Apr 2017Mar 2018 · 11 mos

Lead Data Engineer - Analytics

Jun 2016Apr 2017 · 10 mos

Target

3 roles

Lead Analyst - BI&A

Apr 2015Jun 2016 · 1 yr 2 mos

  • Provide technical leadership to deliver projects within scrum framework for Merchandising Analytics; Lead data engineering functions for the implementation of pricing & promotions optimization algorithms in hadoop ecosystem.
ScrumData EngineeringHadoopBusiness Analytics

Project leader / Sr. Business Analyst - Healthcare BI&A

Promoted

Sep 2012Mar 2015 · 2 yrs 6 mos

  • Healthcare BI&A: Led Analytics team focused on delivering actionable insights to Target pharmacy business; Supported broad range of Healthcare functions like Managed care, Drug classifications, Specialty, Compliance, Patient Adherence & Transfers, PBM engagements, PetRx etc.
  • Loyalty analytics: New customer onboarding strategies; Identify customer segment to further pursue for enrollment in rewards program and measure effectiveness; develop customer segmentation's based on trip missions; transform data present in silos to create a single golden record for each customer
  • Technology SME:
  • managed SAS platform migration activities (migration of 150+ users from SAS 9.3 to 9.4 grid platform);
  • storage optimization strategies for SAS platform
  • drive adoption of Tableau, Python, Big data in BI teams via training's and leaning groups

Business Analyst, Healthcare BI

May 2011Sep 2012 · 1 yr 4 mos

  • Business Unit: Target Pharmacy & Healthcare BI
  • Design, develop, maintain healthcare datamarts for analytics & reporting needs
  • Developed reporting framework using SAS Intelligence platform technologies
  • Ensure compliance needs are being met with state required guidelines
  • data visualization with Tableau

Genpact

Business Analyst, Healthcare BI

May 2010May 2011 · 1 yr · Bengaluru Area, India

  • Worked for leading PBM in USA.
  • Responsibilities -
  • Analyze prescribing behavior of physicians, Identify physicians for campaign, and track improvement in prescribing behavior month over month
  • Measure effectiveness of campaigns
  • Report automation, Build self-serve tools

Keane india ltd

Sr. Software Engineer, Healthcare

Jun 2007Apr 2010 · 2 yrs 10 mos · Hyderabad Area, India

  • Worked for leading pharmaceutical client in USA.
  • Focus Areas - Prescriber Rx activities, Drug classification, Promotional events, Retail & Non-retail targeting.
  • Responsibilities -
  • Application development, Process optimization & automation
  • Building datamarts for complex reporting and analytics
  • Data analysis, Adhoc reporting, Operational support
  • Develop solutions for Marketing and Consumer analytics teams to perform ROI analysis on different Promotions and Marketing initiatives

Education

Malaviya National Institute of Technology Jaipur

B.TECH — Computer Engineering

Jan 2003Jan 2007

Kendriya Vidyalaya, Ratlam (M.P.)

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