T Wittels

I am a Cloud-first Lead Data Engineer with over 6 years of experience in building scalable data architectures across AWS and GCP. My expertise lies in constructing ETL/ELT pipelines using tools like Airflow, Snowflake, PySpark, and Dagster. I have a proven track record of creating both batch and real-time solutions leveraging EMR, Kinesis, and BigQuery. My commitment to mentoring teams and enforcing coding standards has significantly reduced data processing latency through performance optimization.

In my current role at Walmart, I engineered scalable data pipelines that support demand forecasting across Snowflake and BigQuery. I developed structured ETL processes for PST email data and integrated near real-time streaming pipelines using EMR and Kinesis. My previous experience at Motive involved architecting real-time IoT ingestion pipelines and designing modular ETL pipelines, which improved maintainability and enhanced reporting workflows. Additionally, I am recognized as a course author on Udemy, focusing on big data technologies, which has reached over 5,000 global learners.