Supratim Das is a senior data engineer with nine years of experience building data warehouses, lakehouses and event-driven data platforms for fintech and enterprise clients. After earning a CS master’s in Saarbrücken and publishing research on temporal information retrieval, he translated academic rigor into production-grade systems at KPMG and N26, specializing in Python, Spark, Airflow, Terraform and cloud-native data architecture. He excels at turning legacy audit pipelines into scalable ELT solutions, with hands-on expertise in Redshift, S3, PostgreSQL and Kubernetes. Based in Berlin, he now drives next-generation data platform work at Parloa, combining research-minded experimentation (lakeformation, partitioning and file formats) with pragmatic DevOps practices. Notably, his background spans both low-level research (word embeddings and temporal IR) and large-scale operationalization, giving him a rare blend of ML-aware thinking and production engineering.
9 years of coding experience
8 years of employment as a software developer
Nano Degree Data Engineering, Nano Degree Data Engineering at Udacity
B.TECH Computer Science, B.TECH Computer Science at Institute Of Engineering and Management
Master's Degree Computer Science, Master's Degree Computer Science at Universität des Saarlandes
HS Science, HS Science at Bidhannagar Govt. High School
Contributions:43 commits, 42 pushes, 1 branch in 1 year 4 months
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