Adam Ivansky is a Senior Data Engineer and tech lead with eight years of experience designing large-scale ETL and streaming pipelines, data warehouses, and cloud-native infrastructure primarily on AWS. He combines deep hands-on skills in Python, Snowflake, PostgreSQL, Terraform and DBT with practical ML and backend experience using PySpark, Django, and FastAPI to deliver production-grade data platforms. At Apple and TKO he led teams, made architecture decisions, and integrated LLMs such as Mixtral-8x7B and Snowflake Cortex into RAG-powered marketing workflows—an uncommon bridge between modern generative models and enterprise data warehousing. His background in optics and prior work on machine vision and risk modeling give him a strong foundation in math-driven solutions and rigorous data quality practices. Based in Batavia, NY, he’s equally comfortable provisioning EKS and Terraform stacks as he is mentoring engineers and defining development standards.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Science (BSc) Physics, Bachelor of Science (BSc) Physics at University of Galway
Master’s Degree Optics/Optical Sciences, Master’s Degree Optics/Optical Sciences at University of Rochester
HS Diploma Mathematics, HS Diploma Mathematics at Nicolaus Copernicus high-school
Easy programatic access to Taproot Assets Protocol. A client for Tiramisu Wallet API.
Contributions:10 pushes, 1 branch in 11 months
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