Alexey Sanko is a Principal Data Engineer based in Austin with 15+ years working with data and over a decade focused on Hadoop-era big data (Hive, Spark, Presto, Databricks) and modern cloud warehouses like Snowflake. He builds and restructures data platforms end-to-end—designing semantic layers, certifying “gold” pipelines, and introducing modular code, testing, and release practices that scale across teams. At Atlassian and Dropbox he led cross-functional initiatives for low-latency analytics, hybrid lake architectures, and data quality frameworks while mentoring engineers in Python, SQL, and data modeling. Comfortable across Java, Scala, Python and multiple RDBMS, he blends hands-on optimization (Hive UDFs, query tuning) with product-oriented thinking and internal customer focus. A practical systems thinker, he often pairs platform-level improvements (linting, CI, SLA/on-call) with single-pipeline wins that materially improve trust and latency for analytics consumers.
9 years of coding experience
19 years of employment as a software developer
Master's degree System Analysis/Analyst, Master's degree System Analysis/Analyst at Peter the Great St.Petersburg Polytechnic University
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