Mo Hamsa
@mohamsa
Senior Data Engineer and Solution Architect focused on scalable, secure cloud data platforms and analytics enablement.
What I'm looking for
I’m a Senior Data Engineer and Solution Architect with over 12 years of experience designing, building, and scaling enterprise data platforms. I translate business requirements into robust technical solutions, lead data modernization initiatives, and architect secure, high-performance data ecosystems that support reporting, advanced analytics, and operational systems.
I’ve built end-to-end batch and streaming pipelines using distributed processing frameworks, led data modeling (dimensional, normalized, and analytical schemas) to improve query performance, and defined data architecture standards, integration patterns, and governance frameworks. I also guide engineering teams through technical reviews and mentoring while delivering reliable, cost-optimized cloud-native platforms with strong data quality, security controls, and automation through orchestration and CI/CD.
Experience
Work history, roles, and key accomplishments
Senior Data Engineer & Architect
Data to Biz
Jan 2023 - Present (3 years 4 months)
Architected end-to-end cloud data platforms using data lakes and warehouses to support analytics, reporting, and downstream applications. Designed batch and streaming pipelines for scalability, fault tolerance, and low-latency ingestion while leading dimensional and normalized data modeling initiatives.
Lead Data Engineer
Softura
Aug 2020 - Jan 2023 (2 years 5 months)
Built and optimized ETL/ELT pipelines handling high-volume structured and semi-structured data from multiple source systems. Improved reliability and reduced operational incidents through orchestration, monitoring, and alerting, while mentoring engineers and tuning pipelines for efficiency.
Designed and deployed cloud-native data solutions using managed services, object storage, and distributed compute. Led migrations from on-premises to cloud platforms with minimal downtime and implemented security controls including role-based access, encryption, and audit logging.
Developed data ingestion and transformation pipelines using SQL, Python, and distributed processing frameworks. Supported analytics and BI teams by delivering clean, well-modeled datasets and maintaining relational and NoSQL databases to ensure consistency, integrity, and performance.
Education
Degrees, certifications, and relevant coursework
Government College University
Bachelor of Science, Computer Science
Bachelor's in Computer Science at Government College University.
Availability
Location
Authorized to work in
Job categories
Skills
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