Minhazur Rahman
Summary
Senior engineer with 8+ years of building backend systems & data infrastructure that solve real-world problems, from scaling food delivery platforms to optimizing supply procurement intelligence. Energized by the strategic challenge of system design and architecture, enjoying the puzzle of connecting business to data.
Experience
Axel Springer SE
Berlin, Germany
Senior Software Engineer
Mar 2026 – Aug 2026
scoutbee GmbH.
Berlin, Germany
Senior Data Engineer
Oct 2023 – Feb 2025
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Built FastAPI enrichment tracker service orchestrating web scraper, human verification, ML inference and Airflow pipelines, reducing enrichment latency by 80%
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Built web scraper using AWS Lambda, SQS, and RDS processing 16M supplier domains, reducing false positives from 40% → 20% through circuit breakers and DLQs
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Redesigned Neo4j schema for LLM chat product, scaling to 10M+ suppliers (150M+ nodes, 44 labels)
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with <10s latency, supporting pivot from multi-tenant to unified AI interface
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Expanded Snowflake data warehouse to reduce Neo4j costs and enable sales team SQL analytics
Data Engineer
Dec 2020 – Oct 2023
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Led development of data platform using Airflow, Polars, Neo4j, and AWS S3, processing 500K+ records daily and reducing infrastructure costs by 60-70% by replacing Databricks/PySpark with self hosted Kubernetes-based solution
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Built multi-tenant data API layer using GraphQL & ElasticSearch, serving 6 customer implementations including Unilever, Siemens, Audi, and Mahle across enrichment services, sales dashboards, and product web UI
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Architected knowledge graph data model with 5M+ nodes and 40 labels, enabling millisecond query performance through optimized Neo4j indices
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Initiated data warehousing efforts using medallion architecture on AWS S3 with Databricks workflows, processing 50K-1M rows daily and transforming each into 15 Neo4j nodes, establishing foundation for company's data infrastructure
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Led development of data platform using Airflow, Polars, Neo4j, and AWS S3, processing 500K+ records daily and reducing infrastructure costs by 60-70% by replacing Databricks/PySpark with self hosted Kubernetes-based solution
•
Built multi-tenant data API layer using GraphQL & ElasticSearch, serving 6 customer implementations including Unilever, Siemens, Audi, and Mahle across enrichment services, sales dashboards, and product web UI
•
Architected knowledge graph data model with 5M+ nodes and 40 labels, enabling millisecond query performance through optimized Neo4j indices
•
Initiated data warehousing efforts using medallion architecture on AWS S3 with Databricks workflows, processing 50K-1M rows daily and transforming each into 15 Neo4j nodes, establishing foundation for company's data infrastructure
Pathao Ltd.
Dhaka, Bangladesh
Software Engineer, Data
Oct 2019 – Feb 2020
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Initiated Airflow adoption, converting 6 Dataproc pipelines to Python and connecting food delivery, ride sharing and courier products to datawarehouse
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Maintained Metabase/Redash dashboards for marketing and data science teams to optimize coupon deploymentand locality operations
Software Engineer, Backend
Mar 2018 – Oct 2019
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Proposed and built event-driven queuing service for food delivery platform, scaling from 20K to 50K orders/day by reducing latency from 600ms to 200ms
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Built coupon and promotions microservices enabling targeted marketing campaigns and restaurant menu discounts, implementing order page preloading to reduce cart abandonment
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Rewrote dispatcher microservice in Go, reducing order failures by 80% during high-demand periods through priority-based delivery person matching
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Proposed and built event-driven queuing service for food delivery platform, scaling from 20K to 50K orders/day by reducing latency from 600ms to 200ms
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Built coupon and promotions microservices enabling targeted marketing campaigns and restaurant menu discounts, implementing order page preloading to reduce cart abandonment
•
Rewrote dispatcher microservice in Go, reducing order failures by 80% during high-demand periods through priority-based delivery person matching
•
Initiated Airflow adoption, converting 6 Dataproc pipelines to Python and deploying Metabase/Redash dashboards for marketing and data science teams to optimize coupon deploymentand locality operations
Circle FinTech Ltd.
Dhaka, Bangladesh
Software Engineer, Fullstack
May 2017 – Feb 2018
RDZ Solutions
Dhaka, Bangladesh
Software Engineer
Dec 2016 – Apr 2017
WebAble Digital
Dhaka, Bangladesh
Intern Software Engineer
Nov 2015 – May 2016
Education
American International University – Bangladesh
Bachelor of Science
Computer Science
Feb 2018
Skills
Coding
Python, Javascript, Golang
Data Engineering
ETL, Airflow, PySpark, Medallion Archicecture, Lakehouse Architecture, Data Pipeline, SQLMesh, Pandas, Polars
Backend Development
FastAPI, Django, Apollo GraphQL, REST API, Microservices Architecture
System Architecture
Event Driven, Multi Tenant, RabbitMQ, AWS SQL, Serverless
Database and Storage
Google BigQuery, AWS RDS, Google CloudSQL, ElasticSearch, Snowflake, AWS S3, Graph Database, Neo4j
Cloud & Infrastructure
AWS, GCP, Terraform, Docker, Kubernetes, DataDog, Sentry, IaC
Languages
English
German
Goethe-Zertifikat A1
Bengali