Data Engineering
- Python
- SQL
- Spark
- Airflow
- ETL Pipelines
Chicago, IL · Data Platforms · Analytics Engineering
Tucker Yazdani
Data Engineer and Platform Engineer
I build reliable data pipelines, cloud data platforms, and analytics systems that turn raw data into trusted business intelligence.
Production ETL
Cloud Data Platforms
Pipeline Reliability
Technical Focus
Modern data engineering across pipelines, platforms, and trusted analytics.
Cloud and Platforms
- Azure
- AWS
- GCP BigQuery
- Databricks
- Snowflake
Data Systems
- Data Warehousing
- Delta Lake
- Data Quality
- Pipeline Reliability
Featured Project
Reddit Street Journal
Problem
Market conversations on Reddit move quickly, making it difficult to identify relevant stock trends and summarize signals consistently.
Solution
Automated pipeline to identify trending stocks from Reddit discussions, fetch live Yahoo Finance price data, generate AI-powered summaries, and publish outputs to Twitter and GitHub Pages.
Tech Stack
- Python
- SQL
- Docker
- GCP
- Yahoo Finance
Impact
Created a repeatable publishing workflow that turns noisy social data into structured, timely market summaries.
Experience
Built for reliability, quality, and business trust.
Production ETL pipelines
Data quality and reliability
Cloud data infrastructure
Databricks and Snowflake platform work
Sensitive data and PII handling
Analytics and business intelligence support
Pipeline automation
About
Data-focused engineering with platform depth.
Tucker is a data focused engineer working across data engineering and platform engineering. His work centers on building reliable ingestion, transformation, storage, and analytics systems that help teams trust and use their data effectively.
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