Summary
Aleksandr Mylnikov is a Senior Data Engineer with 11 years of experience building scalable big data and streaming solutions, currently developing social media analytics at Emplifi. He combines deep Spark (PySpark and Scala) and Flink expertise with AWS-certified developer skills, often implementing real-time windowed aggregations and storing high-throughput data in DynamoDB, Elastic, and Redshift. A Python enthusiast and Java-certified developer, he has a strong track record creating ingest pipelines with AWS Glue and operationalizing them via DevOps practices using Ansible, Jenkins, CodePipeline, and CDK. Based in Prague, he brings enterprise-grade experience from EPAM and T‑Systems, bridging Java foundations with modern cloud-native data engineering. Notably, he blends streaming-first design with pragmatic storage choices, enabling low-latency analytics for customer-facing products. His academic background in information security adds a practical lens on data governance and resilient pipeline design.
11 years of coding experience
8 years of employment as a software developer
Среднее специальное, Техник-программист, 4.63, Среднее специальное, Техник-программист, 4.63 at Санкт-Петербургский Государственный Университет Информационных Технологий, Механики и Оптики (Университет ИТМО)
Бакалвр, Информационная безопасность, Бакалвр, Информационная безопасность at Университет ИТМО
English, Czech, Russian