v
vamsipraneeth

Vamsi G

@vamsipraneeth

Data Engineer

Índia
Inglês, Hindi, Telugu
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am an Analytics Engineer specializing in Snowflake, Power BI, and Generative AI. With an MS in Business Analytics and a background in Mechanical Engineering, I bridge the gap between complex databases and actionable business intelligence. I help businesses automate operations by transforming raw data into secure, interactive web apps and compliance dashboards. My expertise includes architecting Snowflake data pipelines, writing complex SQL/DAX, and building AI-driven Data Copilots (Python, Streamlit). Let's build your scalable data product!... Saiba mais

Habilidades

v
vamsipraneeth
Vamsi G
offline • 

Conheça meus serviços

Armazenagem de dados
I will build an ai powered compliance dashboard using power bi and snowflake
A partir deUS$ 45 /projetoMais detalhes

Experiência profissional

Contractor

Período integral • 1 yr 3 mos

Data Engineer - Eon Collective

Jun 2025 - Mar 2026 • 9 mos

Contracted by Eon Collective to develop scalable Generative AI integrations and dynamic web applications using Python and Streamlit, enabling cross-functional teams to query complex Snowflake data pipelines via natural language. Developed an AI-driven Supply Chain Copilot (utilizing the Anthropic Claude API) that processed over 150,000 rows of macroeconomic data, empowering stakeholders to instantly diagnose logistics bottlenecks. Architected repeatable analytical processes and dynamic schema injection protocols in Snowflake, improving data accuracy and governance.

Business Intelligence Developer - Orangewood Labs

Jan 2023 - May 2023 • 4 mos

Designed and maintained automated reporting dashboards using Power BI and Tableau to surface critical operational metrics for executive management. Engineered SQL and Python data pipelines to identify operational trends and resolve workflow bottlenecks.

Data Analyst - PES University

Jun 2022 - Aug 2022 • 2 mos

Developed and documented automated Python data extraction pipelines, reducing manual data processing time by 20%. Fabricated interactive Power BI dashboard prototypes based on complex business requirements and end-user feedback.