Prashant Sharma — Data Engineer
Senior Big Data Engineer with 10 years of experience in designing, optimizing, and migrating large-scale data pipelines across Retail, Banking, and Insurance domains. Expertise in Spark, PySpark, Hive, SQL, Azure (Databricks, ADF, ADLS), AWS (Glue, S3), and ETL performance tuning. Proven track record of reducing processing time by 70%, lowering cloud costs by 38%, and enhancing data reliability to 99.9%. Adept at cloud migration, data engineering automation, and scalable architecture design.
Stackforce AI infers this person is a Big Data Engineer with expertise in cloud solutions across Retail, Banking, and Insurance.
Experience: 10 yrs
Career Highlights
- 10 years of experience in Big Data engineering.
- Reduced processing time by 70% and cloud costs by 38%.
- Expertise in cloud migration and scalable architecture design.
Work Experience
LTIMindtree
Senior Data Specialist (8 mos)
Synechron
Lead Technology (3 yrs 9 mos)
Big Data Specialist (3 yrs)
Infosys
Big Data Specialist (2 yrs 5 mos)
Capgemini
Data Engineer (6 mos)
Tata Consultancy Services
Data Engineer (2 yrs 8 mos)
Education
Bachelor of Engineering - BE at Rajiv Gandhi Prodyogiki Vishwavidyalaya
School at St. Micheal's Sen. sec. School
