Bushira Yasir
@bushirayasir
Experienced Data Architect and Engineering Leader specializing in cloud-native platforms.
What I'm looking for
With over a decade of experience, I am a seasoned Data Architect and Engineering Leader specializing in the design and implementation of high-performance, cloud-native data platforms. My expertise spans real-time data streaming, data lakes, and cutting-edge AI/ML solutions that empower organizations to unlock actionable insights.
I have a strong track record of building scalable and resilient architectures such as Lakehouse and Data Mesh across multi-cloud environments including AWS, Azure, and GCP. My leadership style focuses on fostering cross-functional collaboration to drive innovation and streamline complex data initiatives. Beyond architecture, I excel in optimizing ETL workflows, leading digital transformation projects, and embedding AI and large language models (LLMs) into business intelligence and predictive analytics solutions.
By combining technical acumen with strategic vision, I help organizations future-proof their data ecosystems, enhance decision-making, and maintain trust through robust governance and privacy frameworks.
Experience
Work history, roles, and key accomplishments
Lead Data Engineer
Nova Data Systems
Jan 2021 - Present (4 years 6 months)
Led the end-to-end architecture and implementation of scalable data pipelines using Spark, Python, and SQL. Spearheaded the migration of legacy ETL systems to modern cloud-based data platforms, reducing processing time by 40% and increasing data reliability.
Senior Data Engineer
Summit Analytics Group
Jul 2016 - Present (9 years)
Developed Apache Flink and Kafka pipelines that processed over 1 million events per hour with less than 500ms latency, supporting real-time decisioning. Migrated legacy ETL processes to modern, Python-based workflows, enhancing flexibility and developer productivity.
Data Engineer
OmniData Solutions
Sep 2013 - Present (11 years 10 months)
Refactored over 15 legacy pipelines into modular Airflow DAGs, reducing ETL failure rates by 60% and increasing maintainability. Developed and applied scalable Slowly Changing Dimension (SCD) Type 2 data warehouse models.
Education
Degrees, certifications, and relevant coursework
Virtual University
Bachelor in Computer Science, Computer Science
Obtained a Bachelor's degree in Computer Science. The curriculum focused on foundational computer science principles and practices.
Availability
Location
Authorized to work in
Job categories
Skills
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