Dipayan Som — Data Engineer
Created scalable Data Pipelines for processing Terabytes of data per day. Leveraged Spark, Data Warehouses, and Cloud Services like AWS / GCP to handle massive data-driven use cases. Worked with Product Teams to understand the business requirements, designed Data Pipelines at scale, developed with Spark / PySpark, scala/python on cloud platforms, and released the product for consumers. Built a Strong understanding of FinTech while working for PayPal as FTE and on Retail Domain as previously worked with Nike. Primary Skills: Spark, SQL, Python, Scala, Data Structures, AWS, GCP, Data Engineering
Stackforce AI infers this person is a Data Engineer specializing in FinTech and Retail data solutions.
Location: Bengaluru, Karnataka, India
Experience: 6 yrs 5 mos
Skills
- Technical Communication
- Data Engineering
- Aws
Career Highlights
- Expert in building scalable data pipelines for large datasets.
- Strong experience in AWS and GCP for cloud data solutions.
- Proven track record in FinTech and Retail data engineering.
Work Experience
Atlassian
Data Engineer 2 (1 yr 2 mos)
PayPal
Software Engineer 3 (3 yrs)
Cognizant
Associate-projects (2 yrs 3 mos)
Education
B.Tech at West Bengal University of Technology, Kolkata
10+2 at West Bengal Council of Higher Secondary Education
10 at West Bengal Board Of Secondary Education