Ankush Sharma is a Staff Data Engineer based in Berlin with over a decade of experience building high-performance backend and data systems across JVM and Python ecosystems. He has deep startup and product-facing experience, taking systems from inception to production—specializing in event-driven architectures, stream processing, and scalable ML pipelines using Kafka, Spark, Flink, Airflow, Delta/Hudi and AWS. His background spans both backend services (Spring Boot, Vert.x, Akka) and data platforms (EMR, Trino, Athena, Hudi), enabling end-to-end ownership of data-intensive features and APIs. At Just Eat Takeaway and HelloFresh he delivered production ML pipelines and reactive REST services while navigating Kubernetes, Terraform and infrastructure automation. He pairs strong engineering craft with hands-on leadership, having led small teams to design ad-tech and data platforms that balanced low-latency requirements with operational simplicity. Fluent in both research-caliber academic training (MSc in Computer Science) and practical production constraints, he brings a pragmatic, performance-first approach to large-scale data problems.
11 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Université libre de Bruxelles
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Technische Universität Berlin
UPC Universitat Politècnica de Catalunya
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Ramjas College, University of Delhi
Contributions:9 commits, 8 pushes, 1 branch in 1 month
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