Summary
Maksim Konstantinov is a Senior Data Engineer with 10 years of experience building large-scale JVM-based data pipelines and optimizing Spark workloads, currently driving data platform reliability and performance at Apple in San Francisco. He combines hands-on implementation—designing reusable libraries, scheduling, and monitoring—with stakeholder-facing requirements gathering and mentoring of junior engineers. His background spans enterprise ETL, cloud migrations, and cost-saving optimizations (including storage-format and EMR-to-EC2 improvements) across finance, adtech, and consulting engagements. A pragmatic performance tinkerer and GenAI explorer, he brings both deep JVM/Spark expertise and a streak for squeezing inefficiencies out of production systems.
10 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Moscow Humanitarian-Technical Academy (former Moscow Economic and Linguistic Institute)
English