a
aurvel

Sivakumar C

@aurvel

Senior Principal Architect Data, Analytics AI

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I am a Senior Principal Architect with 20 years of experience in Data, Analytics, Cloud, and AI. I specialize in leading enterprise data platforms from architecture through delivery, with a deep track record across Snowflake and Azure ecosystems. I have extensive experience in master data management, production AI, and LLM-driven data enrichment, having spent five years onsite in the European market setting technical direction and growing global teams.... Mehr lesen

Kompetenzen

a
aurvel
Sivakumar C
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Beratung im Bereich Datentechnik
I will senior data architect ,snowflake, azure and ai specialist

Portfolio

Arbeitserfahrung

Emergere_Technologies LLC

Practice Lead - Data Analytics and AI

Emergere Technologies LLC • Vollzeit

May 2022 - Present • 4 yrs 6 mos

Led the Data Analytics & AI practice, owning technical direction, solution architecture, pre-sales advisory and delivery for clients in healthcare distribution, building materials and manufacturing. Built the Snowflake and applied AI capability from the ground up and grew onshore/offshore delivery teams. Key achievements: • Product master remediation (healthcare): consolidated 264,521 SKUs into 106,664 golden records (2.5:1) using LLM attribute enrichment on Snowflake Cortex, with 100% UNSPSC classification and 50% lower LLM cost through a hierarchical design • Customer goldenization: reduced 78,839 source records to 44,740 golden customers (43% duplicates removed) with a five-tier match cascade and 8-level hierarchy rebuild • Enterprise SKU consolidation: unified product data from 50 divisions and 8 ERPs into one master, cutting acquisition onboarding from months to days • RevCast: delivered an ML revenue-forecasting product on a Databricks medallion backend, predicting job timeline and margin • AI document extraction: benchmarked LLMs for construction-takeoff extraction at ~96% average accuracy across 13 plans • Platform foundations: defined Snowflake EDW architecture, RBAC security model and IaC-driven DEV/PRE-PROD/PROD promotion with Terraform and dbt • Pre-sales: led MDM strategy and POCs for multi-ERP clients, tool evaluations and cost projections that converted into delivery engagements Tech: Snowflake, Cortex AI, Azure, Databricks, dbt, Terraform, Python, SQL, Power BI, LLMs, vector search