Ashutosh Priyadarshi
@ashutoshpriyadarshi
Results-driven Software Developer specializing in Big Data and Analytics.
What I'm looking for
I am a results-driven Software Developer and Analytics Engineer with over 4 years of experience at Microsoft Finance. My expertise lies in high-scale data engineering for financial systems, where I have a proven track record of building distributed data pipelines that ensure data quality and enable insights across billions of records.
At Microsoft, I have successfully built and maintained a distributed reporting platform that handles over 1 billion records bi-daily, which is crucial for mission-critical payouts to global partners. I designed and optimized end-to-end ETL pipelines using Azure Data Factory, Databricks, and Synapse, achieving a remarkable 40% reduction in report generation time. My collaborative approach has allowed me to partner effectively with analysts, developers, and finance stakeholders to streamline data workflows and drive insightful decision-making.
Experience
Work history, roles, and key accomplishments
Software Developer II
Microsoft
Sep 2020 - Present (4 years 8 months)
Built and maintained a distributed reporting platform handling over 1 billion records bi-daily, enabling mission-critical payouts to global partners. Designed and optimized end-to-end ETL pipelines using Azure Data Factory, Databricks, and Synapse, which reduced report generation time by 40% and improved financial data accuracy.
Software Engineering Intern
Microsoft
Jun 2019 - Aug 2019 (2 months)
Improved pull request build pipelines by filtering successful results, which optimized database load and service performance. Developed new test result processing logic, significantly reducing system data volume and enhancing overall throughput.
Education
Degrees, certifications, and relevant coursework
National Institute of Engineering, Mysore
Bachelor of Engineering, Computer Science
Completed a Bachelor of Engineering in Computer Science. Gained foundational knowledge in computer science principles and practices.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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