Arijit Banerjee
Data Science Engineer @Syngenta
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WORK HISTORY
Data Science Engineer @Syngenta
Dallas-Fort Worth, TX, US
Developed and optimized fault-tolerant batch and streaming data pipelines using PySpark and AWS Glue, enhancing data processing efficiency. Implemented streaming systems by improving data distribution strategies across topics and partitions. Leveraged AI data engineering patterns and modern metadata systems to streamline data modeling and semantic layers, leading to better analytics.
EDUCATION
The University of Texas at Austin
Postgraduate Program, Artificial Intelligence and Machine Learning: Business Applications
West Bengal University of Technology, Kolkata
B.TECH, Electronics and Communications Engineering
ABOUT ARIJIT BANERJEE
At Syngenta, my role as a Data Engineer revolves around tackling the complexities of agronomy analytics. Our team\'s mission is to leverage data to increase crop yields sustainably amidst global challenges like climate change. With our focus on AWS cloud services, we design and deliver data solutions that feed into a robust Data Lake, enabling advanced predictions on seed sales and farm yields.My work includes crafting reusable frameworks to enhance data platform capabilities, supporting analytics for informed decision-making. The competencies gained in my tenure at Syngenta are a testament to our commitment to excellence and sustainability in agriculture.Technologies and Skills: Data Engineering, Data Analytics, Data Modeling, Databricks, Data product Evolving and Roadmap design, Data Science, AWS CloudFront, AWS Glue, AWS Lambda, AWS S3, AWS Sagemaker - Endpoint deployment, AWS Step function, PySpark, Python, Amazon Redshift, Git, Hyperion IR, Informatica, Autosys, Jenkins, Oracle, Power BI, Talend, DevOPS, CICD, GitLab, Mural, Agile process, Confluence.
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