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@omkarmusale
Aspiring data engineer with expertise in big data and cloud technologies.
I am an enthusiastic data engineer with a strong foundation in programming and cloud technologies. My experience includes developing scalable data pipelines and automating data export processes, which have significantly improved data accessibility and efficiency. I thrive on tackling complex challenges, particularly in the realm of geospatial and healthcare data.
During my tenure at Infocusp Innovations, I successfully optimized algorithms to enhance performance by 20% and implemented solutions using cutting-edge technologies such as Google Earth Engine API, Kubernetes, and Terraform. My academic background in Information Technology, coupled with my hands-on experience in big data frameworks like PySpark, has equipped me with the skills necessary to extract valuable insights from large datasets.
I am passionate about continuous learning and have participated in competitive coding competitions, achieving recognition for my problem-solving abilities. I am eager to contribute my skills to a dynamic team that values innovation and data-driven decision-making.
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Work history, roles, and key accomplishments
Infocusp Innovations
Jul 2023 - Present (2 years 4 months)
Developed a scalable data pipeline to download and process massive geospatial datasets efficiently. Worked on geospatial data, handling large geospatial datasets (TIFF, CSV) exceeding 100GB. Optimized algorithms to improve efficiency by 20% and enhanced code quality using OOP principles.
Infocusp Innovations
Jul 2023 - Present (2 years 4 months)
Designed and implemented an automated cron job to export data at regular intervals, ensuring access to the latest datasets.
Infocusp Innovations
Jan 2023 - Present (2 years 10 months)
Analyzed accident data to identify high-risk areas and detect patterns in accident occurrences. Used big data techniques (Pyspark) to extract insights. Created interactive visualizations using Streamlit to display accident trends and hotspots.
Infocusp Innovations
Jan 2023 - Present (2 years 10 months)
Worked on processing large volumes of healthcare data using Apache Spark (PySpark) on a distributed system to extract insights. Worked on data visualization dashboards using Streamlit for better insights.
Degrees, certifications, and relevant coursework
Bachelor of Engineering (B.E.), Information Technology
Grade: 8.56 CGPA
Activities and societies: Achieved 2nd Place in a Competitive Coding Competition.
Completed a Bachelor of Engineering in Information Technology, focusing on core computer science principles. Relevant coursework included Data Structures and Algorithms, Program Development, DBMS, OOP, Big Data, Devops, and Web technology.
Software and tools used professionally
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