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Hi, I’m U DAY D. I’m a data analyst who loves turning complex data into clear, actionable insights. Over the past 5+ years I have designed scalable ETL pipelines, real-time streaming workflows, and dimensional data models using SQL, dbt, AWS, Kafka, and Beam, delivering dashboards and reports that guide business decisions. I enjoy applying AI-powered analytics, NLP-to-SQL optimization, and predictive analytics to finance and e‑commerce challenges, collaborating closely with product, marketing, and operations teams in Agile environments to drive measurable impact.…Hi, I’m U DAY D. I’m a data analyst who loves turning complex data into clear, actionable insights. Over the past 5+ years I have designed scalable ETL pipelines, real-time streaming workflows, and dimensional data models using SQL, dbt, AWS, Kafka, and Beam, delivering dashboards and reports that guide business decisions. I enjoy applying AI-powered analytics, NLP-to-SQL optimization, and predictive analytics to finance and e‑commerce challenges, collaborating closely with product, marketing, and operations teams in Agile environments to drive measurable impact.

U DAY D

Data Analyst, Marketing Analyst, Project Manager, +2

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Hi, I’m U DAY D. I’m a data analyst who loves turning complex data into clear, actionable insights. Over the past 5+ years I have designed scalable ETL pipelines, real-time streaming workflows, and dimensional data models using SQL, dbt, AWS, Kafka, and Beam, delivering dashboards and reports that guide business decisions. I enjoy applying AI-powered analytics, NLP-to-SQL optimization, and predictive analytics to finance and e‑commerce challenges, collaborating closely with product, marketing, and operations teams in Agile environments to drive measurable impact.…Hi, I’m U DAY D. I’m a data analyst who loves turning complex data into clear, actionable insights. Over the past 5+ years I have designed scalable ETL pipelines, real-time streaming workflows, and dimensional data models using SQL, dbt, AWS, Kafka, and Beam, delivering dashboards and reports that guide business decisions. I enjoy applying AI-powered analytics, NLP-to-SQL optimization, and predictive analytics to finance and e‑commerce challenges, collaborating closely with product, marketing, and operations teams in Agile environments to drive measurable impact.

Available to hire

Hi, I’m U DAY D. I’m a data analyst who loves turning complex data into clear, actionable insights. Over the past 5+ years I have designed scalable ETL pipelines, real-time streaming workflows, and dimensional data models using SQL, dbt, AWS, Kafka, and Beam, delivering dashboards and reports that guide business decisions.

I enjoy applying AI-powered analytics, NLP-to-SQL optimization, and predictive analytics to finance and e‑commerce challenges, collaborating closely with product, marketing, and operations teams in Agile environments to drive measurable impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Analyst at Amazon

May 1, 2024 - November 4, 2025

Engineered scalable ETL pipelines with dbt, SQL, AWS Redshift, Glue, and S3, consolidating structured and unstructured data to ensure reliable analytics across teams. Built and optimized real-time streaming workflows with Apache Kafka and Apache Beam, reducing reporting latency from 4 hours to under 10 minutes, enabling near real-time revenue and funnel monitoring. Designed and implemented data models and schemas aligned with business logic, improving query performance by 30% and supporting demand planning and KPI tracking. Developed interactive dashboards in Power BI, Tableau, Mode Analytics, and Amplitude to track funnel optimization, campaign ROI, and product performance, which helped leadership reallocate 15% of marketing spend toward higher-performing channels. Automated data validation, anomaly detection, and reporting workflows using Python (Pandas, NumPy, Pytest) and Excel VBA, saving ~25 manual hours per week across operations teams. Partnered with product managers and stakeho

Data Analyst at Goldman Sachs

June 1, 2023 - June 1, 2023

Led the Client Revenue & Risk Analytics Platform project, integrating Salesforce CRM, trading systems, and financial data into a centralized AWS Redshift warehouse with ETL pipelines in SQL, dbt, Glue, and S3, ensuring consistent and scalable reporting. Built real-time streaming workflows with Apache Kafka and Apache Beam to capture trading activity and client interactions, reducing reporting latency from hours to minutes. Designed and optimized data models and dimensional schemas to track revenue, client funnels, campaign ROI, and portfolio risk, improving query efficiency by 35%. Developed interactive dashboards in Tableau, Power BI, Mode Analytics, and Amplitude, enabling leadership to monitor checkout funnels, client profitability, and exposure KPIs in real time. Automated data validation, anomaly detection, and reconciliation processes using Python (Pandas, NumPy, Pytest) and Excel VBA, saving ~20 analyst hours weekly and reducing reconciliation errors by 30%. Gathered and documen