Sai Kiran Kodukula

Enterprise Data Architect @Publix Super Markets

Lakeland, FL, US
MOBILE NUMBERS
+18•••••••15

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WORK HISTORY

Jul 2017 — Present

Enterprise Data Architect @Publix Super Markets

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Lakeland, FL, US

Big Data Analytics and Data Science: Primarily working on evangelizing Big Data Analytics and Data Science across the organizations by leading/developing prototypes and show casing the business value and ROI. Working across cross-functional teams of Data Analysts and Business SME’s for building proof of concepts. Working on developing an enterprise analytics strategy across the organization Customer data SME with hands on experience in Personalization, Campaign management, Measuring effectiveness. Built a Customer Data mart from scratch for enabling Customer analyticsEvaluation of the cloud platform that meets the enterprise Data Science and Analytical needs that start with an \'A\'Working on building an Enterprise Scale Data Lake in the Cloud.Established a governance process for cataloging all assets in the lake so that all assets can easily be searched within the lake and not to turn the lake into a swampDeveloped an overall Architecture Plan and Strategy for ingesting on-prem data and building analytical applications using the technologies available in the CloudDeveloped an overall Strategy and architecture plan for enabling Self Service Analytics in the Cloud for Business usersProof of concept for building a Customer data platform in Hive using Presto with ORC and Parquet. Comparing the Performance with a traditional MPP databaseDesigned a solution for enabling purchase history of Customers on the eCommerce site using Apache Spark, and Document DBDeveloped a prototype of Customer Identity Management system in Spark that integrates Customers across systems and provides a single view of Customer. The solutions involves merging of Customers based on confidence factorsDeveloped an overall strategy for building a Recommender System of Items to Customers - TOPN Smart list Items - Frequent Items - Content based filtering - Collaborative filteringDeveloped RFM models for Clustering Customers and defining the lifetime value of Customers

EDUCATION

N/A

Gayatri Vidya Parishad

Bachelor of Science (B.Sc.), Computer Science

N/A

Andhra University

Master of Science (M.Sc.), Computer Science

SKILLS

Database DesignAzure Data Lake StoreRetailDatabasesTableauWeb AnalyticsMachine LearningPerformance TuningMetadataExtract, Transform, Load (Etl)Visual InsightsProject ManagementStrategic ThinkingSqlData ModelingApache SparkMicrostrategyErwinDatastageAnalyticsBusiness StrategyPysparkManagementData IntegrationDatabase AppliancesData WarehousingEtlData QualityEnterprise ArchitectureData MigrationData ScienceNosqlProject PlanningOlapSdlcDigital StrategySolution ArchitectureRData Warehouse ArchitectureLeadership

ABOUT SAI KIRAN KODUKULA

With over 25 years of experience in data, analytics, and enterprise architecture, I currently serve as an Enterprise Data Architect at Publix, driving the evolution of AI-enabled analytics, data science, and business intelligence across the organization.My focus is on transforming how data and intelligence intersect — embedding AI directly where the data lives to accelerate decision-making, automation, and insight generation at scale. I lead initiatives that bridge modern cloud data platforms, generative AI agents, and advanced analytics frameworks, delivering prototypes and proof-of-concepts that shape our enterprise strategy.A key passion in my current journey is the understanding and enablement of Agentic AI capabilities — applying autonomous and reasoning agents across diverse business domains to enhance productivity, cost optimization, and data-driven innovation.Specialized in customer data, personalization, and campaign intelligence, I have architected a comprehensive customer data mart that powers analytics, segmentation, and actionable insights. My commitment is to enable data-driven innovation by evaluating and integrating emerging cloud, AI, and data technologies that align with organizational strategy and measurable business outcomes.

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