Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Pavel Kalmykov is a highly experienced software architect and engineering leader specializing in distributed systems, in-memory computing, and big data technologies. He is widely recognized for his deep involvement and leadership within the Apache Ignite community, having served as a PMC (Project Management Committee) Chair and a long-time committer. Pavel has a strong background in Java and Scala, and a proven track record of designing, building, and scaling complex, high-performance data platforms. His career includes significant contributions at major tech companies, where he has led teams and architected solutions for challenging data-intensive problems. He is also a regular speaker at international conferences, sharing his expertise on distributed computing and database technologies.
Pavel Kalmykov's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Served as the PMC Chair for Apache Ignite, guiding the project's development, community, and roadmap. Actively contributed code and architectural insights to the distributed database and computing platform for many years.
Led the architecture and development of several large-scale data processing and storage systems at companies like Yandex (e.g., Yandex Data Proc) and GridGain Systems, focusing on performance, scalability, and reliability.
Frequently invited to speak at major technology conferences worldwide (e.g., ApacheCon, JavaOne, Devoxx, GeeCON) on topics related to Apache Ignite, distributed systems, and in-memory computing.
Authored numerous technical articles, blog posts, and documentation, sharing deep insights into distributed systems and contributing to the knowledge base of the developer community.
Moscow State University, Postgraduate studies - Year 2003
Moscow State University, Computer Science Department - Year 1998
Moscow School of Mathematics and Computer Science 444 - Year 1988
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Usedesk is a comprehensive customer support platform designed to help businesses manage communications across multiple channels. It offers tools like a unified inbox for messages from email, social media, and messengers, a knowledge base builder, live chat, and AI-powered chatbots. The platform aims to streamline customer service operations, improve agent productivity, and enhance overall customer satisfaction by providing a centralized system for handling inquiries and automating routine tasks for businesses of various sizes.
Get verified emails, phone numbers, and LinkedIn profile details
Discover contacts with similar roles, seniority, or companies
Uncover insights like skills, work history, social links, and more
Explore contacts in-depth — from verified emails and phone numbers to LinkedIn activity, job changes, and more — all in one powerful view.
Highperformr AI helps you surface the right people and enrich your CRM with live, accurate contact insights so your teams can connect faster and close smarter.
Thousands of contacts — including decision-makers, influencers, and ICP matches — are just a search away.
Thousands of companies, including, are just a search away.