Rakesh Dey — Operations Associate
Data Engineer on Cloud(AWS,Azure) and onprem stack Currently working to build the optimized lakehouse to save '$' and serve the data in consumption layer in more faster way.. Helped to build optimized solution without compromise SLA in databricks which gave saving $120K/Month with databricks compute savings and storage cost reduction ADLS. Helping multiple teams to achieve the same looking across their data growth, jobs performance and tuning code ,streamline the lakehouse standard and help to choice best compute infra.. Built some observability metrics on databricks cost Helped Client of power and utilities sector to build 'Digital-grid' system, a technology-powered solution utilizing partnership with Microsoft
Stackforce AI infers this person is a Data Engineer specializing in cloud solutions and big data architectures.
Location: Kolkata, West Bengal, India
Experience: 10 yrs 8 mos
Career Highlights
- Built optimized lakehouse saving $120K/month.
- Developed observability metrics for Databricks costs.
- Created 'Digital-grid' system for power and utilities sector.
Work Experience
Deloitte
Manager (2 yrs)
Senior Consultant Team Lead (1 yr 6 mos)
EY
Senior Consultant (11 mos)
Lead Analyst (1 yr)
Cognizant
Data Engineer (1 yr 10 mos)
Tata Consultancy Services
System Engineer (3 yrs 6 mos)
Education
Bachelor of Technology (B.Tech.) at MCKV Institute of Engineering
