I’m Daniel Podgaichenko, a Senior Technical SEO and Digital Optimization leader with 17+ years of experience architecting large-scale SEO systems, automation pipelines, crawling frameworks, and AI/ML-driven performance infrastructure. I specialize in Python automation, distributed crawling, rendering diagnostics, indexing architecture, and global web performance, partnering with engineering, product, and data teams to modernize SEO infrastructure and accelerate experimentation for sustained enterprise growth.
I thrive at turning complex technical environments into automated, scalable systems that unlock rapid iteration and measurable results. I’m passionate about building globally visible, data-driven SEO programs and mentoring teams to elevate technical capability and cross-functional collaboration.
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