Sr. Data Engineer with experience in data engineering, machine learning research, and open-source development. Worked on greenfield data projects, automated data flows, optimized legacy pipelines, and contributed to real…
Sr. Data Engineer with experience in data engineering, machine learning research, and open-source development. Worked on greenfield data projects, automated data flows, optimized legacy pipelines, and contributed to real-time data platforms using tools such as Spark, Kafka, Kubernetes, FAST API, PostgreSQL, and Delta Lake.
- Engineered and launched a DataLakehouse Platform for a prominent FinTech startup, revolutionizing data synchronization by reducing processing time from days to mere seconds.
- Pioneered the development and deployment of a Customer Data Platform, seamlessly integrated with the client application to capture invaluable customer behavior data, empowering informed decision-making and significantly enhancing retention rates.
Worked on development of greenField data projects which were sold and packaged as SaaS offerings to 30+ clients generating a revenue of 1 million dollars
Led a proactive team of three proficient Data Engineers, driving the innovation and deployment of state-of-the-art data platforms.
Automated the Data Flows for Breville’s Commercial and HR department allowing for updates of internal dashboards within 5 seconds.
Optimized the legacy data pipelines reducing Azure Cost by 50k dollars per month.
Worked with Dr.Chanin Nantasenamat in analyzing a 30 GB dataset of steroid sulfatase inhibitors.
Applied machine learning techniques to achieve an 80% accuracy rate in predicting the behavior of sulfatase inhibitors.
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