Sayed Shabbir — Senior Software Engineer

Most organizations today are rich in data but poor in reliable data infrastructure. I’m a Data Engineer specializing in building scalable data platforms and high-performance data pipelines that transform complex datasets into reliable systems for analytics, machine learning, and AI-driven products. My focus is not just moving data from point A to B, it's designing production-grade data architectures that enable organizations to extract real value from their data. Over the years, I’ve worked on building end-to-end data ecosystems, including ingestion pipelines, distributed processing systems, modern data warehouses, and machine-learning-ready datasets. What I work with regularly: → Scalable ETL / ELT pipeline architectures → Distributed data processing using Spark and modern big data frameworks → Modern data warehousing and lakehouse architectures → Python & SQL for large-scale data transformation → Feature engineering pipelines for machine learning → Real-time data streaming systems → Cloud-native data platforms (AWS | GCP | Azure) Highlights from my work: → Built scalable data pipelines supporting analytics and ML workflows → Designed data architectures that improved data reliability and accessibility for teams → Developed automated data workflows that reduced manual data operations → Enabled data science teams with clean, ML-ready datasets and feature pipelines I’m particularly interested in problems involving: • Large-scale data infrastructure • Machine learning data platforms • Real-time data processing systems • Modern lakehouse and analytics architectures Beyond building systems, I enjoy sharing insights about data engineering, scalable data platforms, and modern AI infrastructure with the broader tech community. If you're building data platforms, analytics infrastructure, or AI-driven systems, I’d love to connect and exchange ideas.

Stackforce AI infers this person is a Data Engineering expert in SaaS and AI-driven systems.

Location: New York, New York, United States

Experience: 1 yr 5 mos