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@hasnatbashir
Data Engineer with expertise in building scalable data pipelines.
I am a Data Engineer with over 3 years of experience in building scalable data pipelines and optimizing ELT workflows. My journey in data engineering has equipped me with a strong skill set in Python, AWS, and data modeling. I am passionate about developing secure, high-performance data infrastructure that supports decision-making and analytics.
In my current role as a Solutions Engineer at Kaleidoscope Inc., I have designed and maintained scalable ETL pipelines, ensuring secure and efficient data flow across systems. I have also developed data infrastructure in a graph database, enhancing data lineage and performance. My previous experience at Confiz Ltd. involved migrating pipelines to optimize execution time and implementing data quality automation, significantly improving data reliability.
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Work history, roles, and key accomplishments
Kaleidoscope Inc.
Apr 2023 - Present (2 years 7 months)
Designed and maintained scalable ETL pipelines, ensuring secure and efficient data flow across systems. Developed data infrastructure in a graph database to enhance data lineage, searchability, and performance. Implemented automated monitoring and validation processes, reducing data quality issues by 25%.
Confiz Ltd.
Apr 2021 - Apr 2023 (2 years)
Migrated pipelines from Pandas to Dataproc and BigQuery, optimizing execution time for seamless daily analytics dashboards. Created Flask APIs for faster data retrieval in dashboards, reducing response time by 40%. Implemented data quality automation with Databricks and Delta Lake, improving data reliability.
CNS Engineering
Oct 2020 - Apr 2021 (6 months)
Built a modular transformation library for Python and Spark, enhancing data processing efficiency. Optimized ELT architecture, improving data extraction and loading performance by 43%. Developed a time-series classification model for an analytics project, increasing prediction accuracy.
Degrees, certifications, and relevant coursework
Bachelor of Science, Software Engineering
2016 - 2020
Grade: 3.24
Completed a Bachelor of Science in Software Engineering, focusing on software development principles, data structures, algorithms, and system design. Achieved a CGPA of 3.24, demonstrating strong academic performance and a solid foundation in software engineering.
Software and tools used professionally
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