Azirеt Satybaldiev is a Senior Data Engineer based in Berlin with nine years of experience building high-throughput, production data pipelines and cloud migrations for enterprise clients. He has delivered measurable performance wins—such as partitioning and Iceberg/Impala optimizations for Porsche and a Neo4j migration that cut query times from days to seconds—while operationalizing data quality, ELT testing, and streaming IoT workloads. Proficient in Spark, Scala, Java, TypeScript and NoSQL, he bridges data engineering and ML teams to productionize models and automation at scale. Comfortable across on-prem and cloud platforms (GCP, Azure) and CI/CD, he brings a pragmatic focus on reliability, performance and governance that often reveals non-obvious bottlenecks early in projects.
9 years of coding experience
5 years of employment as a software developer
M.Sc, Computer Science, M.Sc, Computer Science at Rheinland-Pfälzische Technische Universität Kaiserslautern-Landau (RPTU)
B.A with Honors, Software Engineering, 3.93 / 4.0, B.A with Honors, Software Engineering, 3.93 / 4.0 at American University of Central Asia (AUCA)
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