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Everything here is publicly verifiable: Google Cloud Ambassador for Infrastructure (one of 41 worldwide), Google Cloud Security Champion, 5× Google Cloud Professional, CSA CCSK and CCZT, two published books and a bilingual EN/DE engineering blog.
The credentials behind the platform work: cloud security and networking certifications chosen for production depth, Google Developer Groups talks, and technical writing that other engineers use — not badge collecting.
Together they span the full stack — from network fabric and secure, compliant cloud platforms to data engineering and DevOps at scale — the same problems I solve in production every day:
View the complete list of my verified certifications on Credly.Official Google Cloud Partner recognition — pairing my newest Gemini Enterprise specialist certifications, at the frontier of enterprise AI, with hands-on Vertex AI technical expertise. Every badge verified on Credly.
Frontier AI partner accreditations — agents & enterprise deployment.
Verified on CredlyNew
Verified on CredlyHands-on expertise across Vertex AI, Intelligent Search & customer engagement.
Google Cloud Ambassador — Infrastructure (2026): one of 41 practitioners worldwide selected by Google Cloud for real-world infrastructure expertise and community impact, listed in the official Google Cloud Ambassadors directory. Alongside it: Google Cloud Security Champion, App Modernization Partner Engineering Program (EMEA) and Google Product Expert.
The recognition sits on top of daily practice: active on Google Cloud Skills Boost since 2022, learning by shipping real infrastructure in the console rather than memorising slides.
Beyond individual practice, I contribute upstream to cloud-foundation-fabric — Google's official Terraform module library and FAST landing-zone toolkit for enterprise GCP deployments — with pull requests reviewed and merged by Google engineers through the project's full quality process.
Every badge, rank and contribution here is publicly verifiable — the full record of labs, quests and league standing lives on my Skills Boost profile:
View My Google Cloud Profile
A curated set of AWS Partner accreditations — chosen to span the axes that matter in production: architecture, security, regulated & sovereign environments, and cloud enablement. Depth over badge-count — every credential verified on Credly.
Backed by 25+ AWS Knowledge training badges across Security, Networking, Serverless, EKS, Storage, and Disaster Recovery.
See all credentials on CredlyMy independent engineering blog is where I write first — deep dives on cloud, Kubernetes, DevSecOps and AI infrastructure. Selected pieces are also published on Medium and top developer platforms, and I share every new article across social media.
Primary sourcealekseialeinikov.com / blogThe canonical home of every article — original, ad-free, and always up to date.Read the blog
Dev Genius
DataDrivenInvestor
JavaScript in Plain English
The Pythoneers
Level Up Coding
InfoSec Write-ups
Data Engineer Things
Towards Data Engineering
Long. Sweet. Valuable.
Mac O'Clock
Google Cloud – Community
Word Garden
AI AI OH
AI Mind
Generative AIThe writing spans AI, DevOps, Data Engineering and Cloud, alongside JavaScript, Python, Go and TypeScript — turning complex production systems into clear, engineer-to-engineer explanations.
Also active onQuoted inTwo published books, sold worldwide — not summaries of what I read, but distilled from what I actually shipped. One helps engineers build a career on purpose; the other rewires how they create data visuals in the AI era.
For engineers who are done fighting Matplotlib. Published with OrangeAVA, it shows how to prompt your way to production-grade charts — Matplotlib & Seaborn, automation and reusable templates — cutting hours of tweaking down to minutes.
The book I wish I’d had starting out — how to grow as a developer on purpose, not by accident. No fluff: concrete roadmaps, weekly routines, and honest lessons on skills, time and networking. Sold worldwide on Amazon, Apple Books, Kobo and beyond.
Invited speaker at Google Developer Groups across Europe — hands-on AI, Cloud & Security sessions on shipping reliable agents, RAG and secure cloud workflows.
Google Developer Groups
GDG Münster · ONLINE
“Build a Simple AI Text Summarizer with Gemini and Cloud Run” — from zero to a deployed AI app in one hands-on session.
Google Developer Groups
GDG Essex · ONLINE
“Managing Secrets in Agentic Python Applications with Google Secret Manager” — stop leaking credentials from your AI agents on Google Cloud.
Google Developer Groups
GDG Münster · ONLINE
“Evaluating Production-Ready RAG Systems with Vertex AI” — how to prove a RAG system is actually reliable before it ships.
University-recognized, credit-bearing programs — chosen for real-world depth, not badge-collecting.
Recognized by 49 countries in the European Higher Education Area (ECTS) and over 440 institutions in the U.S. (ACE®), these certifications highlight my academic rigor and practical expertise.
End-to-end DevOps expertise — Agile, CI/CD and cloud-native delivery with Docker, Kubernetes & OpenShift. IBM’s 15-course, production-focused program.
Verify on Credly
Hands-on SOC-analyst training — threat detection, SIEM & IDS, network defense and Python automation. Includes CompTIA Security+ preparation.
Verify on Credly
Full-stack delivery from React front-ends to cloud-native back-ends — Node.js, Python, Django, containers and microservices. IBM’s job-ready developer track.
Verify on Credly
Automate operations at scale — Python scripting, Git, configuration management with Puppet and large-scale troubleshooting. Google’s DevOps-foundations program.
Verify on CredlyA deliberate choice, not a career pivot: as an infrastructure engineer I went back to structured study to close the data-engineering gap most platform people carry — the same foundations that now power my BigQuery lakehouse and Vertex AI RAG work in production.
Three consecutive, intensive, capstone-driven programs — BI → Analytics → Data Engineering. Each one shipped a real project, not just coursework. All certificates issued by Wild Code School.
Specialized in Power BI, Python for Data Analysis, and SQL. Developed expertise in data visualization, statistical analysis, and data wrangling.
Final Project: "The Downhill Sisters"
Advanced knowledge in Inferential Statistics, Machine Learning, and NLP. Proficient in creating predictive models and applying deep learning techniques.
Final Project: "Productivity in the Garment Industry"
Expertise in Data Engineering, Google Cloud, and DevOps. Specialized in big data infrastructure design, AI-driven analytics, and machine learning integration.
Final Project: "StockPredict: Navigating the Market with Precision"
Leadership and consistency beyond engineering: I founded and led a professional book club for more than two years — curating the reading list, facilitating every session and keeping a recurring group of about 20 people engaged with structured formats and one clear takeaway each time.
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