Hi, I'm Syed Ibrahim
Building large-scale data platforms, streaming systems & data lineage at scale
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Building the backbone of data infrastructure
Senior Software Engineer specializing in large-scale data platforms, streaming systems, data movement, metadata management, and data lineage. Known for combining deep technical knowledge with a practical focus on scalability, reliability, and operational excellence.
Over the years, I have built expertise across Apache Beam, Dataflow, Kafka, Dataproc, Flink, Dataplex, DataHub, CDC architectures, and cloud-native data engineering.
I have progressed from building data pipelines and platform tooling to owning critical systems and influencing broader architectural decisions. My work has contributed to significant infrastructure cost savings, platform modernization initiatives, improved reliability, and the development of data governance and lineage capabilities at scale.
$ echo "A highly ambitious data platform engineer and technology leader in the making—combining technical depth, continuous self-improvement, and a desire to create meaningful impact."|
Role
Senior Software Engineer
Focus
Data Platforms & Streaming
Company
Wayfair
5+
Years Exp
10+
Technologies
Technologies I work with
Data & Streaming
Data Governance
Cloud & Infrastructure
Languages & Tools
What I've built & owned
LineageScript DSL
Designed and developed a custom Domain Specific Language (DSL) with a technical RFC for transforming raw data lineage into architectural lineage. Built collaborative YAML and JSON specifications enabling teams to define and manage lineage declaratively.
- Technical RFC authored and reviewed
- Transforms raw lineage to architectural lineage
- Collaborative specification design
Large-Scale Data Platform
Built and owned critical systems for data movement and processing at Wayfair, contributing to significant infrastructure cost savings and platform modernization initiatives.
- Significant infrastructure cost savings
- Platform modernization at scale
- Improved reliability and performance
Metadata & Data Governance
Developed comprehensive metadata management and data governance capabilities, including data quality frameworks and lineage tracking across the data ecosystem.
- End-to-end data lineage tracking
- Automated data quality checks
- Governance at enterprise scale
Kubernetes Queue Infrastructure
Designed scalable Kubernetes-based systems to manage custom queues, structuring environments to handle high volumes of heavy API-driven tasks with reliability and efficiency.
- High-volume task processing
- Custom queue management
- Scalable infrastructure design
Streaming & CDC Pipelines
Architected and implemented real-time streaming and Change Data Capture pipelines enabling near real-time data movement across distributed systems.
- Real-time data movement
- CDC architecture design
- Distributed system integration
Professional journey
Senior Software Engineer (Software Engineer III)
Owning critical data platform systems and influencing broader architectural decisions across data engineering, streaming, and governance domains.
- Led platform modernization initiatives delivering significant infrastructure cost savings
- Designed and built LineageScript DSL for transforming raw data lineage into architectural lineage
- Owned critical data movement and processing systems at enterprise scale
- Influenced architectural decisions across data engineering and governance domains
- Built expertise across Apache Beam, Dataflow, Kafka, Flink, DataHub, and cloud-native engineering
How I approach engineering
Systems Thinking
Evaluating solutions through cost, performance, maintainability, scalability, and business impact.
Data-Driven Decisions
Analytical by nature, preferring informed decisions backed by data and measurable outcomes.
Operational Excellence
Combining deep technical knowledge with practical focus on reliability and scalability.
Continuous Growth
Pursuing objectives with discipline across career, technical skills, and personal development.
Let's connect
Interested in discussing data engineering, distributed systems, or potential collaborations? I'd love to hear from you.