Ravindranath Kandikonda Matam
Solution Architect Engineer @Damian Consulting, Inc
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WORK HISTORY
Solution Architect Engineer @Damian Consulting, Inc
OR, US
SKILLS
ABOUT RAVINDRANATH KANDIKONDA MATAM
Career SummaryWith 18+ years of global experience Retail, Healthcare, Real-estate and Telecom domains. inarchitecting enterprise-grade data platforms, advanced analytics systems, and cloud-nativesolutions (AWS, Azure, Databricks). Proven track record of leading cross-functional teamsacross data engineering, machine learning, and analytics, bridging the gap betweentechnology and business impact.What I Bring to the Table: Founded and led the creation of Startup enterprise-grade data platform, setting thetechnical vision and roadmap from inception to production, enabling scalable analyticsand cross-functional data access across marketing, operations, and product teams. Owned the end-to-end architecture and delivery of Unified Data Layer, pioneering amodular, parameter-driven framework for batch and streaming ingestion, schemaevolution, and automated data quality enforcement across diverse data sources. Designed and scaled petabyte-scale data platforms and self-service analytics systemsfor Fortune 500s and high-growth startups. Managed Data and analytics teams, enabling cross-functional collaboration acrossMarketing, Product, and Finance. Directed end-to-end analytics delivery pipelines, including BI tools (Tableau, PowerBI), metric frameworks, and stakeholder KPIs. Developed dashboards for Campaign Performance, Attribution Models, and GrowthMetrics using Spark, Python, and SQL. Delivered real-time dashboards on CPL, CPA, ROAS, LTV, and conversion attribution. Created data-driven storytelling decks for Executive and Board Reporting, helping alignstrategy and ROI-focused decision making. Built and led high-performing data & analytics teams—mentored 15+ engineers andanalysts across global locations. Drove ML model scalability by converting serial pipelines into distributed Spark-basedsystems, improving runtime by 5x+. Delivered observability dashboards and data quality frameworks, empoweringbusiness teams to monitor SLA-sensitive processes. Managed migration of legacy analytics systems (OLAP/SSAS) to modern platforms likeSnowflake, Synapse, and Databricks Lakehouse. Certified across major cloud platforms and analytics technologies—Databricks, Azure,AWS.Technical Exploration & Thought LeadershipIn my personal time, I actively explore cutting-edge technologies to stay ahead of the curve: Interactive RAG with Feedback Loop: Built a multimodal RAG system for unstructured data, incorporating user-assigned weights and feedback-driven tuning for more accurate outputs. Knowledge Graph Engineering: Prototyping
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