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Hamza RehmanHR
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Hamza Rehman

@hamza-rehman

Senior Backend Engineer (9+ yrs) | .NET, Python, SQL, AWS & Kafka. Specializing in high-throughput systems, custom engines & AI-assisted workflows.

Pakistan
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What I'm looking for

I'm passionate about scalability, performance optimization, developer productivity tooling, systems internals, core services, and integrating autonomous AI coding agents into real-world engineering.

Looking for backend or distributed systems roles where I can take ownership of core architecture, scalability, and data infrastructure.

Senior Backend Engineer with 9+ years of experience designing distributed services, high-throughput pipelines, and developer frameworks across enterprise (S&P Global) and fast-paced tech environments.

I focus on performance-critical backend engineering and building tools that eliminate boilerplate for other engineers.

Where I've done my best work:

  • Distributed Systems & Performance: Profiling bottlenecks, optimizing garbage collection, and eliminating lock contention in high-volume services.

  • Custom Engines & Frameworks: Designing rule-based transformation engines, schema-driven formatters, and configuration-based microservices from scratch.

  • Data Streaming & Ingestion: Building real-time event-driven pipelines capable of processing millions of daily transactions reliably.

Select Highlights:

  • Motive: Accelerated data purge services by 150% (processing 5M+ operations/day) in Ruby.

  • S&P Global: Ideated and built Titan (a rule-based transformation engine using recursive Call Trees) and WnE (a configuration-driven services framework on Kubernetes), reducing team development overhead by 60%.

  • S&P Global: Re-architected an ingestion pipeline, scaling throughput by 500% at 1/10th the infrastructure cost.

  • Alachisoft (NCache): Reduced Garbage Collection pauses by 40% and boosted cache throughput by 30% via custom object pooling and thread-local concurrency.

Core Stack:

  • Languages: C# / .NET, Python, SQL, Ruby, Java, Scala, PowerShell, Batch

  • Cloud & Infra: AWS, Kubernetes, Docker

  • Data & Messaging: Confluent Kafka, PostgreSQL, MS SQL Server, NCache, Spark

  • Engineering Practices: AI-Assisted Development (Claude Code, GitHub Copilot, Antigravity), Roslyn Compiler Analyzers, TDD, CI/CD

Experience

Work history, roles, and key accomplishments

S&P Global logoSG

Lead Software Engineer

Aug 2022 - Nov 2025 (3 years 3 months)

Directed end-to-end engineering across 4+ frameworks, boosting delivery efficiency by 30%+ and enabling low-code capabilities. Re-architected the Titan transformation engine, engineered a high-throughput ingestion system, and led modernization and migration strategies. Mentored engineering team members.

SL

Consultant Data Analytics

Dec 2021 - Aug 2022 (8 months)

Led implementation of Acryl DataHub for Regeneron Pharmaceuticals within a Data Mesh architecture, designing Python-based metadata workflows on AWS EMR and MWAA. Enabled automated data lineage tracking and collaborated with cross-functional teams using Agile/Jira to deliver GraphQL-integrated metadata solutions.

AL

Software Engineer

Alachisoft

Jul 2017 - Jun 2019 (1 year 11 months)

Optimized NCache server engine by implementing custom object pooling in C#, reducing GC overhead by 40% and boosting throughput by 30%. Built the Entity Framework Core Caching Provider and developed an ASP.NET Core web management application for monitoring and configuring distributed cache clusters.

Education

Degrees, certifications, and relevant coursework

NUST SEECS logoNS

NUST SEECS

Bachelors of Engineering, Software Engineering

2013 - 2017

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