Rahul Shukramani

About Rahul Shukramani

I’m a seasoned Data Architect and Principal Data Engineer with 14+ years of experience building, modernizing, and leading cloud-scale data platforms across digital media, finance, telecom, and insurance.My mission is to simplify complexity and build cost effective, scalable and AI ready data solutions that drive intelligent decision making.Key Contributions & Business Impact:Data platform modernization -$400K Annual Savings: Led Teradata-to-Snowflake migration and legacy BI decommissioning, enabling a modern cloud-first data stack- 70% Lower TCO: Replaced legacy ETL (Informatica) with Airflow + Snowflake, improving agility, performance, and maintainability- 95% Faster Data Ingestion: Built real-time Kafka + Spark pipeline to ingest publisher cost data, increasing freshness and campaign ROI.Agentic AI & Intelligent Automation - 30% Faster Incident Resolution: Built a multi-agent AI framework using AWS Strands SDK to autonomously triage and fix ETL failures, reducing on-call fatigue.Customer Intelligence & MDM - Customer 360 view: Built an enterprise-wide Customer MDM platform, resolving identity across fragmented sources and enabling targeted marketing.Data Governance & Observability - 40% Reduction in Production Issues: Developed in-house regression testing and observability frameworks to detect anomalies early and improve data trust- Enterprise PII Governance: Championed GDPR/CCPA-compliant data policies, strengthening security posture and shareholder confidence.Technical Leadership & Cross-Functional Impact -$200K+ BI Cost Savings: Consolidated siloed reporting tools into governed Power BI access layer with centralized data control- Elevated Engineering Maturity: Mentored team members, codified architecture best practices, and drove platform reliability through automation and policy-driven design- Platform Visibility & Alignment: Presented key data architecture wins in org-wide forums, aligning stakeholders around long-term data strategy.I bring hands-on expertise in:Cloud Platforms: Snowflake, AWS services such as EC2, S3, Lambda, IAMData Engineering: Python, SQL, Airflow, Kafka, Spark Streaming, Terraform, Shell Scripting, Informatica PowerCenterBI & Analytics: Power BI, Tableau, MicroStrategy, data modelingDataOps & Governance: Observability, Quality, Compliance, Data Catalog, Policy enforcementAI frameworks: AWS Bedrock, AWS Strands, LangGraph, RAG architecture

Experience

1. Data Architect

   Core Digital Media

   Jan 2024 — Present · Los Angeles, CA, US

   Data Architect with a passion for continuously evaluating emerging technologies and industry trends to identify opportunities for data platform modernization, driving long-term business value through innovation and strategic initiatives- 30% faster incident resolution using AI agents: Built a multi-agent AI framework using AWS Strands SDK (open source) to autonomously diagnose and suggest fixes for ETL failures, streamlining production support and reducing manual triage- Evaluated AI code assistant solutions and developed a comprehensive blueprint for its adoption in Data Engineering workflow- Established Single Source of Truth: Consolidated legacy reporting systems into Power BI and created a Unified Access Layer for governed, enterprise-wise reporting, achiving $200K+ annual cost savings- Drove strategic alignment through visibility: Showcased key Data Architecture wins in company-wide forums, fostering cross-team collaboration and elevating the impact of architectural initiatives- Elevate team expertise: Mentored Data Engineering team members to drive knowledge sharing, support career development, and strengthen overall technical capabilities.

Education

• Vellore Institute of Technology

  Bachelor of Technology (B.Tech.)

  2006 — 2010

• University of Washington, Michael G. Foster School of Business

  Master’s Degree

  2016 — 2017