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@pratyushk
Data Engineer with expertise in scalable data pipeline design.
I am a Data Engineer with over 3 years of experience in designing and deploying scalable data pipelines across cloud and on-prem environments. My journey has been marked by a proven track record in automating workflows, optimizing ETL jobs, and delivering high-impact analytics solutions. I excel in translating business requirements into data-driven solutions that not only reduce costs but also enhance performance and enable informed decision-making.
Currently, I serve as a Senior Associate at Morgan Stanley, where I led the migration of legacy systems to Snowflake Cloud, achieving a 30% improvement in job reliability and execution speed. My role involves re-engineering workflows into Azure Databricks Spark jobs, which has resulted in a 40% reduction in runtime. I am passionate about leveraging my skills in Snowflake, Databricks, and Power BI to drive efficiency and productivity in data operations.
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Work history, roles, and key accomplishments
Morgan Stanley
Nov 2023 - Present (2 years)
Led migration of legacy systems to Snowflake Cloud, automating ETL pipelines and improving job reliability by 30%. Re-engineered workflows into Azure Databricks Spark jobs, achieving a 40% reduction in runtime. Developed CI/CD pipelines in Azure DevOps, cutting release cycles by 25%. Transformed regulatory reports to Power BI, enabling self-service analytics.
Morgan Stanley
Nov 2021 - Nov 2023 (2 years)
Automated financial email reports, reducing delivery time by 45%. Streamlined adjustment processes, saving 60% of manual effort. Designed data delivery jobs ensuring timely data feeds. Tuned ETL jobs, reducing execution time by 50%. Received Project Delivery Award for timely enhancements.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Computer Science
2017 - 2021
Grade: 7.1
Bachelor of Technology in Computer Science, focusing on various aspects of computer science and technology. Achieved a GPA of 7.1.
Software and tools used professionally
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